‏إظهار الرسائل ذات التسميات AI in Healthcare. إظهار كافة الرسائل
‏إظهار الرسائل ذات التسميات AI in Healthcare. إظهار كافة الرسائل

Gates Foundation Backs Bengaluru's Remidio’s AI Retinal Platform to Tackle Maternal Health Risks in Africa & India

Gates Foundation Backs Remidio’s AI Retinal Platform to Tackle Maternal Health Risks in Africa and India

Remidio Innovative Solutions has received a grant from the Gates Foundation to advance its Oculomics platform, which uses retinal imaging and AI to detect signs of systemic disease, for maternal health applications in low- and middle-income countries (LMICs). The initiative will focus on improving early risk assessment for major pregnancy complications, including pre-eclampsia (PE), anemia and gestational diabetes mellitus (GDM). The program will be carried out across countries in Africa and India, regions that together bear the overwhelming share of the global maternal and perinatal disease burden


The scale of the problem is stark. There are approximately 2 million stillbirths worldwide each year, equivalent to one every 16 seconds, and 84% of these occur in LMICs. Hypertensive disorders of pregnancy, particularly pre-eclampsia, are among the leading placental causes of these deaths. The same conditions are also among the leading causes of maternal mortality globally, contributing to an estimated 42,000 maternal deaths annually. Gestational diabetes mellitus affects approximately one in six pregnancies worldwide, with a disproportionately high burden falling on these same populations. Together, these conditions are major contributors to stillbirth, preterm birth, and long-term cardiovascular and metabolic complications that affect both mothers and their children.

The women most at risk from pre-eclampsia and gestational diabetes are often the least likely to reach a laboratory or a specialist in time," said Dr. Anand Sivaraman, Chief Executive Officer and Founding Director, Remidio. "A retinal image takes seconds and can be captured by a frontline worker with minimal training. This grant allows us to ask a clear question with real rigour: can the platform already deployed widely for diabetic retinopathy also help identify pregnancies at risk, in the places where that information is needed most.

The biological link between retinal microvascular changes and systemic vascular and metabolic disease is now well established. Yet in the primary care and community settings where maternal mortality is concentrated, the diagnostic tools that currently support early risk stratification, namely complex laboratory assays, biochemical biomarkers and Doppler-based assessments, are largely unavailable at the point of care, requiring laboratory infrastructure, trained personnel and referral pathways that simply do not exist for most pregnant women in LMICs. Non-invasive retinal imaging, by contrast, is quick, easy to perform by frontline health workers with minimal training, and inherently scalable, making it uniquely suited to bringing advanced risk assessment to the front lines of antenatal care.

The retina is the only place in the body where blood vessels can be observed directly and without an invasive procedure, said Dr. Divya Rao, Chief Medical Officer and Head of AI, Remidio. The microvascular and metabolic changes associated with pre-eclampsia and gestational diabetes leave detectable signatures. Having built and validated our retinal AI on a very large and diverse image dataset, our task now is to prove these signals hold up in community antenatal care, in the hands of frontline workers, across different populations. Evidence, not assumption, will decide where this proves useful.


Remidio's portable, smartphone-based retinal imaging platform is already widely deployed across primary care and community screening programs for diabetic retinopathy, glaucoma and AMD. The grant will extend this platform into maternal health, with implementation across partner sites in Africa and India.

About Remidio -

Today, the human eye is unlocking early insights into systemic health, and Remidio is at the forefront of this transformation. Remidio is a pioneer in AI-driven eye care, leading the shift from care of the eye to healthcare through the eye. As the first company to receive CDSCO approval in India for our adaptive ophthalmic AI, in addition to CE marking in Europe under Class II EU-MDR, we are redefining how diseases like diabetic retinopathy, glaucoma, and AMD are detected early, in close to patient contexts, while remaining confident of extending this to systemic disease detection such as CVD, CKD and liver diseases, in the future.

With CE-marked, FDA 510(k)-registered devices, our solutions have screened 16 million+ patients across 55 countries, integrating teleophthalmology and AI for fast, accurate diagnoses. Our innovative retinal imaging solutions ensure precision and efficiency in clinical workflows. Our journey began humbly - thanks to the chance meeting of our founder, with a mission driven ophthalmologist, who brought into focus the need for decentralizing eye testing with simple to use and affordable devices. That conversation, 15 years back, sparked a vision to make high-quality preventive care accessible to all. Guided by innovation, empathy, and a commitment to global impact, our journey is just beginning!

Tata Elxsi and OpenAna Unveil Anatel™, An AI‑Native Platform Redefining Regulatory‑Ready MedTech Software Engineering

Tata Elxsi and OpenAna Unveil Anatel™, An AI‑Native Platform Redefining Regulatory‑Ready MedTech Software Engineering

Tata Elxsi and OpenAna have jointly launched AnaTel™, an AI‑native software engineering platform for healthcare and MedTech, designed to streamline regulatory compliance and accelerate SaMD development cycles by up to 60%. The debut at DeviceTalks Boston 2026 marks a significant milestone in AI‑driven, regulatory‑ready software delivery for medical technology.

AnaTel™ embeds autonomous AI agents directly into the engineering workflow. Unlike developer productivity tools that focus on code generation alone, AnaTel™ operates across the full AI-Driven Software Delivery Lifecycle, from requirements and architecture through deployment, verification and validation, and continuous optimization, making it a true end-to-end engineering execution platform for regulated environments.

AnaTel™ functions as a configurable AI software team, producing code, documentation, test cases, and compliance artifacts through a specialized Healthcare and Life Sciences agent tailored for MedTech regulatory and engineering demands.

Human engineers and regulatory specialists maintain oversight at every critical review and decision stage. AnaTel™ integrates eSTAR‑aligned submission preparation, requirements traceability matrices, verification and validation records, and audit‑trail documentation directly into daily engineering workflows. By embedding compliance into execution, the platform shortens SaMD (Software as a Medical Device) development and change assessment cycles from eight weeks to just 72 hours, delivering productivity gains of up to 60%.

Key Highlights of AnaTel™

  • Launch Context: Introduced at DeviceTalks Boston 2026 by Tata Elxsi and OpenAna
  • Purpose: End‑to‑end AI‑native platform for regulated healthcare and MedTech software engineering
  • Impact: Cuts SaMD timelines from 8 weeks to 72 hours, with up to 60% productivity gains

Regulatory Drivers

  • FDA Draft Guidance (2025): AI‑Enabled Device Software Functions now require lifecycle documentation, traceability, and validation evidence
  • Europe’s MDCG 2025‑26: Similar emphasis on rigorous documentation and compliance
  • Challenge: Manual assembly of requirements, test cases, and regulatory artifacts across disconnected tools. AnaTel™ embeds compliance into daily workflows, eliminating bottlenecks

Platform Capabilities

  • Autonomous AI Agents: Configurable AI software teams generate code, documentation, test cases, and regulatory artifacts
  • Healthcare Expert Agent: Fine‑tuned for MedTech regulatory contexts, ensuring contextualized compliance
  • Workflow Coverage: Requirements → Architecture → Deployment → Verification/Validation → Continuous Optimization
  • Submission Support: eSTAR‑aligned preparation, traceability matrices, audit‑trail documentation

Tata Elxsi’s Role

  • Expertise: Decades of experience in regulated medical device environments
  • Strengths: Design‑led, AI‑first engineering, ISO 13485 certified Healthcare & Life Sciences practice
  • Contribution: Shaped AnaTel™’s reasoning around traceability, validation, and compliance

OpenAna’s Role

  • Platform Innovation: Provides Ana, a multi‑agent autonomous engineering system spanning software, security, DevOps, and AI/ML
  • Differentiator: Goes beyond coding assistants — full ownership of engineering workflows, with enterprise‑grade guardrails and auditable AI
  • Contribution: Embedded autonomous engineering into MedTech’s demanding regulatory domain

Leadership Perspectives

  • Sreevatsa Sahasranaman (Tata Elxsi): AnaTel™ accelerates regulatory‑ready engineering while keeping human experts in control
  • Rajiv Sondhi (OpenAna): Autonomous AI agents act as reliable co‑engineers in regulated healthcare
  • Muthusamy Selvaraj (Tata Elxsi): AnaTel™ exemplifies STEP.UP co‑innovation — accountability for outcomes, not just technology

Strategic Significance

  • For Healthcare Teams: Reduces compliance burden, integrates documentation into workflows
  • For Regulators: Provides transparent, auditable AI‑driven engineering evidence
  • For Industry: Sets a benchmark for AI‑native platforms in regulated environments, bridging speed with safety. 

US Startup Rovex Launches World’s First Autonomous Patient Transport Robot

US Startup Rovex Launches World’s First Autonomous Patient Transport Robot

Florida, United States-based startup Rovex has unveiled Rovi, the world’s first autonomous in-hospital patient transport robot. Designed to attach to existing stretchers, Rovi navigates hospital corridors independently, aiming to reduce delays in patient transfers and improve hospital efficiency. The launch comes amid rapid growth in the global hospital robotics market, projected to reach $4.6 billion by 2030.

Rovi is essentially a patient transport robot that attaches to stretchers, autonomously moving them around healthcare facilities. The systems include a screen that keeps patients informed of where they are going and why.  Rovi will eventually bring similar functionality to hospital beds and wheelchairs.

Rovi: World’s First Autonomous Patient Transport Robot

US Startup Rovex Launches World’s First Autonomous Patient Transport Robot
Rovi [Image - gorovex.com]
  • Universal stretcher fit: Rovi attaches to any brand of stretcher, with future compatibility for beds and wheelchairs.
  • Autonomous navigation: Equipped with 360° obstacle detection, computer vision, and elevator/door navigation without major infrastructure changes.
  • Pre-programmed simulation: Runs millions of virtual transports to learn hospital layouts and workflows.
  • Efficiency analytics: Captures logistics data to identify bottlenecks (e.g., imaging backups at peak hours).
  • Deployment scale: 9–10 Rovis can handle transport needs for a large hospital.
  • Patient experience: Moves at walking speed, greets patients, announces destinations, and keeps them connected to care teams.
  • Safety focus: Designed for low-acuity patients, ensuring dignity and comfort.

Market Context: In-Hospital Robots

  • Market size: $2.26 billion in 2025 → $2.59 billion in 2026 (CAGR 14.3%). Expected to reach $4.6 billion by 2030 (CAGR 15.5%).
  • Drivers: Staff shortages, rising surgical volumes, infection control needs, and demand for automation in logistics and labs.
  • Trends: Deployment of robots for non-clinical tasks (transport, delivery, disinfection); integration of AI-driven navigation and telemedicine capabilities; focus on contactless healthcare solutions post-pandemic.
  • Challenges: High upfront costs, regulatory hurdles, and training requirements for staff acceptance.

Comparative Positioning

RobotPrimary RoleStrengthsLimitations
RoviPatient transportUniversal stretcher fit, autonomous corridor navigationLimited to low-acuity patients
TUG (Aethon)Supply deliveryProven logistics automation, elevator integrationNo patient transport
Moxi (Diligent)Nurse assistantFetches supplies, supports staffNot designed for patient movement

Key Takeaways

US Startup Rovex Launches World’s First Autonomous Patient Transport Robot
  • Rovi is unique: Unlike supply-delivery robots, it directly addresses patient transport bottlenecks.
  • Hospitals benefit: Faster transfers, improved bed turnover, and reduced staff workload.
  • Market timing: Launch aligns with rising demand for automation in hospital logistics, positioning Rovex as a first mover in patient transport robotics.
Founded in 2024, Rovex is emerging as a first-mover in patient transport robotics, combining AI-driven navigation with hospital workflow integration. With strong VC backing and a niche focus, it is well-positioned to scale globally as hospitals increasingly adopt automation to address staffing shortages and efficiency challenges.


Via ~ Interesting Engineering

IndiaAI and ICMR Partner to Advance Ethical AI in Healthcare

IndiaAI and ICMR Partner to Advance Ethical AI in Healthcare

IndiaAI and ICMR have signed a landmark MoU to build a nationally coherent AI ecosystem for healthcare, combining IndiaAI’s compute and dataset platforms with ICMR’s biomedical expertise. This collaboration is expected to accelerate ethical, scalable AI adoption in public health across India.

Key Highlights of the MoU

  • Partnership Entities: IndiaAI (MeitY initiative via Digital India Corporation) and ICMR (India’s apex biomedical research body).
  • Objective: Establish a structured framework to advance healthcare outcomes through responsible AI, ensuring interoperability and national coherence.
  • Core Collaboration Pillars:
    • AIKosh Dataset Platform: ICMR will contribute anonymised, ethics-approved datasets and AI models via its MIDAS framework.
    • Compute Access: IndiaAI will provide subsidised GPU-based high-performance computing infrastructure to ICMR.
    • Collaborative AI Use Cases: Joint development of AI-powered solutions targeting priority public health challenges.

Ethical and Regulatory Context

  • ICMR Guidelines: Ethical Guidelines for AI in Biomedical Research and Healthcare (2023) ensure accountability, privacy, and fairness.
  • Global Recognition: IndiaAI and ICMR’s NIRDHDS recognised as Pioneer Countries under the HealthAI Global Regulatory Network in 2025.

Strategic Significance

DimensionImpact
National ImpactBridges AI infrastructure with biomedical research to catalyse innovation in diagnostics and treatment.
Global PositioningPositions India as a leader in responsible AI governance for healthcare.
Innovation CatalystProvides startups and researchers access to datasets and compute resources, reducing barriers to entry.

Outlook

This MoU is expected to accelerate AI-driven healthcare innovation in India, while safeguarding patient rights and data privacy. It builds on prior collaborations and global recognition, marking India’s intent to lead in ethical AI governance for healthcare.

Amazon's New AI Tool Turns Years of Drug Research Into Weeks

Amazon's New AI Tool Turns Years of Drug Research Into Weeks

Amazon Web Services has launched Amazon Bio Discovery, an AI-powered platform that compresses early-stage drug discovery timelines from 18 months into just weeks, enabling rapid molecule design, antibody generation, and lab-in-the-loop testing.

Key Highlights

  • Launch Date: April 2026
  • Purpose: Accelerate early-stage drug discovery using AI-driven workflows
  • Compression of Timelines: From 12–18 months to weeks
  • No Coding Required: Scientists can run workflows without programming
  • AI Foundation Models: Specialized biological models generate and evaluate molecules
  • Lab-in-the-Loop: Candidates synthesized and tested with results fed back

Achievements & Adoption

FeatureDetails
Antibody Generation300,000 novel antibodies generated; 100,000 tested
Industry AdoptionUsed by Bayer, Broad Institute, and 19 of top 20 pharma companies
Research PartnersMemorial Sloan Kettering reported sub-nanomolar affinity antibodies
Free TrialAWS offers trial access for researchers

How It Works

Amazon's New AI Tool Turns Years of Drug Research Into Weeks
AI agent helps scientists set up and run AI-powered drug discovery workflows.
  • Model Selection: AI agents guide researchers
  • Candidate Screening: Millions narrowed to 100–1,000 top candidates
  • Optimization: AI refines therapeutic properties
  • Integration: Results loop back into system knowledge

Risks & Considerations

  • Validation Needed: Wet-lab testing required
  • Regulatory Oversight: Compressed timelines challenge frameworks
  • Data Dependence: Accuracy depends on training datasets
  • Not a Replacement: Supports researchers, not replaces them

Impact for India & Global Pharma

With India’s growing biotech and pharma sector, platforms like Amazon Bio Discovery could accelerate vaccine and therapeutic development, especially in oncology, infectious diseases, and rare disorders.

Globally, this represents a paradigm shift in R&D efficiency, reducing costs and speeding access to life-saving drugs.

Emergence of AI based Drug Discovery

More than 200 AI-designed drugs are now in clinical development, with Phase I success rates of 80–90%, nearly double traditional averages. Big Pharma Adoption: In early 2026, Eli Lilly, GSK, and Pfizer signed major deals with AI drug discovery platforms, signaling mainstream adoption.

Several AI-driven platforms besides Amazon Bio Discovery are reshaping drug discovery in 2026, including Insilico Medicine, Recursion Pharmaceuticals, and Exscientia, all of which are delivering clinical candidates and accelerating pharma R&D.

IAN Alpha Fund Backs Peptris in ₹70 Crore Series A to Advance AI Drug Discovery

IAN Alpha Fund Backs Peptris in ₹70 Crore Series A to Advance AI Drug Discovery

IAN Alpha Fund, the 2nd in the series of IAN Group’s VC funds, along with Speciale Invest, has co-led a ₹70 crore Series A funding round in Peptris, a Bengaluru-based AI-powered drug discovery company. The round also saw participation from Tenacity Ventures, BYT Ventures, and other investors. The investment strengthens Peptris’ proposition as one of the leading Indian AI drug discovery platforms progressing beyond molecule generation towards clinical-ready assets. It is an opportune time for such an investment, as companies like Peptris not only help drug companies globally reduce development costs amid high failure rates but also assist with life-cycle management of their patents.

Founded in 2019, Peptris has built an AI-led discovery engine that addresses one of the most persistent problems in healthcare: despite scientific advances, drug discovery remains slow, expensive, and failure-prone, leaving large unmet medical needs. This challenge is most acute in the pre-clinical stage, where time, capital, and scientific uncertainty often derail promising programs much before drugs reach the clinical stage.

Peptris’ differentiator is its proprietary AI models, which not only generate novel molecules but also help predict critical drug development parameters early. This enables faster and better-informed decision-making and has already resulted in the discovery of Novel Chemical Entities (NCEs) as well as drug repurposing and rescue opportunities, with multiple programs now advancing towards clinical development.

This fresh capital infusion will be used to advance its existing programs toward clinical readiness and to significantly expand its pipeline over the next 24 months. The company plans to initiate several new NCE programs, alongside multiple drug repurposing and rescue programs (shelved clinical stage drugs of other companies). The company will also expand teams across biology, chemistry, data science, and AI, while building dedicated business development capabilities in the US and Europe to deepen partnerships with global pharmaceutical and biotech companies.

Business Model: Peptris follows a B2B engagement model, working closely with pharma, biotech, and select FMCG partners to license assets and co-develop programs. Several of its discovery programs each address multi-billion-dollar global market opportunities, underlining the company’s value potential.

Leadership Team: Peptris is led by a founding team comprising Narayanan Venkatasubramanian (CEO), Shridhar Narayanan (CSO), Anand Budni (CTO), and Amit Mahajan (Chief Data Scientist), bringing together deep expertise across AI drug discovery and computational science. The team combines strong academic grounding with hands-on experience in building technology-led platforms and translating complex biological problems into data-driven solutions.

CEO Statement: Narayanan Venkatasubramanian, Co-founder & CEO, Peptris, said, “Our mission has been to harness AI to address meaningful healthcare challenges that enhance quality of life, not merely extend lifespan. The true reward lies in seeing this work translate into hope for patients, relief for caregivers, and a more accessible future for those with limited or unaffordable treatment options. Peptris is especially encouraged to have IAN Alpha Fund share this conviction as an early backer, reinforcing our commitment to building impactful, patient-centered innovation.”

Investor Statement: Rajnish Kapur, Managing Partner, IAN Alpha Fund, said, “Drug discovery is becoming economically unsustainable, with expenses nearly doubling every nine years and pre-clinical development swallowing disproportionate time and capital. The use of AI for molecule discovery, which re-engineers the economics of early drug discovery by enabling faster decisions, reducing costs, and significantly accelerating go-to-market timelines, really excited us. This is driven by a team with scientific depth and computational rigor. This innovation could absolutely help change the drug discovery ecosystem not only in India but globally. At its core, this investment is about serving humanity better.”

Therapeutic Focus: Peptris focuses on therapeutic areas including rare diseases, inflammation, oncology, and women’s health to deliver a durable impact for patients, caregivers, and healthcare systems globally.

About Peptris

Peptris is an AI-powered pre-clinical drug discovery company based in Bengaluru. Peptris has created AI models to generate novel molecules and predict varied parameters that are critical to reduce failures in drug development. The approach has led to the discovery of Novel Chemical Entities (NCE), drug repurposing and rescue opportunities. With novel solutions and a healthy pipeline of molecules, Peptris is one of the few nimble AI drug discovery companies to be entering clinical development and has successfully licensed its first program in Duchenne Muscular Dystrophy.

About IAN Alpha Fund

IAN Alpha Fund, a $100 Mn SEBI-registered Category II AIF VC Fund, is the 2nd fund in IAN Group’s series of funds. The Fund explores opportunities in diverse sectors such as healthtech, cleantech, deep tech, agritech, medtech, hardware and electronics, manufacturing, Web 3.0, Metaverse, Industry 4.0, SaaS, and other sectors where innovation is transformational. The Fund invests in innovative startups solving real problems for India and the world, with sustainable business models enabling scale by leveraging technology.

About IAN Group

IAN Group is India’s largest horizontal platform for early-stage investments, comprising the IAN Angel Fund, BioAngels, and a series of SEBI-registered Venture Capital Funds, the latest being a US$100mn VC Fund, IAN Alpha Fund. IAN enables entrepreneurs to raise from Rs. 50 lakhs to Rs. 50 crores, supported by high-quality mentoring by successful entrepreneurs, enabling access to global markets. Forbes has recognised IAN as one of the most iconic business and economic developments of Independent India over the last 75 years, alongside institutions such as LIC, NASSCOM, the RBI, and Naukri.com.

India’s Healthcare AI Leap: Findability Sciences, Nath School & Kamalnayan Bajaj Hospital Sign Landmark MoU

India’s Healthcare AI Leap: Findability Sciences, Nath School & Kamalnayan Bajaj Hospital Sign Landmark MoU

In a significant step toward accelerating the adoption of Artificial Intelligence in healthcare, Findability Sciences Private Limited, Nath School of Business & Technology, and MMRI Kamalnayan Bajaj Hospital have entered into a tripartite Memorandum of Understanding (MoU) to collaboratively research, develop, test, and deploy AI-driven healthcare solutions.

The MoU establishes a structured framework to build and validate advanced AI applications across clinical decision support, diagnostics augmentation, predictive analytics, operational optimization, patient outcomes, and overall hospital efficiency. The collaboration brings together enterprise-grade AI expertise, academic research rigor, and real-world clinical environments to ensure solutions are practical, ethical, and scalable.

Commenting on the collaboration, Anand Mahurkar, Founder & CEO, Findability Sciences, said:
Healthcare AI must be built where decisions are made—at the intersection of data, clinicians, and real operational constraints. This collaboration allows us to design and validate AI systems that are not only technically sophisticated, but clinically meaningful, compliant, and ready to scale across India’s healthcare ecosystem.

Under the agreement, Findability Sciences will lead the overall AI architecture, model development, platforms, and governance, leveraging its proprietary methodologies and enterprise AI frameworks. Kamalnayan Bajaj Hospital will provide clinical expertise, anonymized healthcare data (in compliance with statutory and ethical norms), and access to live or simulated clinical environments for testing and validation. Nath School of Business & Technology will contribute faculty expertise, research resources, and student participation to support applied research, experimentation, and documentation.

Dr. Geoge Noel Fernandes from MMRI Kamalnayan Bajaj Hospital added: 
Hospitals generate vast amounts of clinical and operational data, yet much of its potential remains untapped. By working closely with an enterprise AI partner and an academic institution, we aim to translate data into actionable intelligence that improves patient outcomes, clinician productivity and hospital efficiency without compromising ethics or patient trust. This is a step towards more efficiency and excellence in patient service.

Representing Nath School of Business & Technology, Harsh Vardhan Jajoo, Director noted:
This MoU exemplifies applied research with purpose. Our faculty and students will engage directly with real healthcare challenges, contributing to AI solutions that are tested in real environments and grounded in rigorous research, while preparing future talent for the evolving healthcare and AI landscape.

Together, the three institutions aim to bridge the gap between AI research and real-world healthcare deployment—moving beyond pilots to solutions that can measurably improve outcomes for patients, clinicians, and hospital systems.

The collaboration also enables the publication of non-confidential academic and research outcomes, subject to intellectual property and confidentiality provisions, reinforcing India’s growing role in responsible and applied AI innovation.

With this MoU, the partners signal a shared commitment to building trustworthy, data-driven healthcare systems, where AI augments clinical judgment, enhances operational resilience, and delivers measurable value at scale.

About Findability Sciences Findability Sciences - Agentic Workflow

About Nath School of Business & Technology Nath School of Business & Technology (NSBT) | Best MBA in Aurangabad

About MMRI Kamalnayan Bajaj Hospital Kamalnayan Bajaj Hospital – The Complete Hospital

AI Health Pioneer Qure.ai Receives Gates Foundation Support to Build Open-Source Lung Health Database

AI Health Pioneer Qure.ai Receives Gates Foundation Support to Build Open-Source Lung Health Database

In an effort to advance health equity and reach the people that need help most, global digital health innovator Qure.ai has received a grant from the Gates Foundation.

The multimillion-dollar grant will allow Qure.ai to develop a large open-source multi-modal database to further advance future prevention and identification innovations. It will support WHO lung-health diagnostic pathways plus augment non-identifiable clinical history, medical images (Chest X-Ray, Thoracic Ultrasound, High Resolution CT), cough/lung recordings, and laboratory or biological markers to enable researchers and innovators around the world to develop, validate, and refine new AI models for the good of all.

This grant will also allow Qure.ai to develop AI-enabled point-of-care ultrasound algorithms as a ‘tool’ for the early detection of TB and pneumonia, two of the world’s deadliest infectious diseases in under-resourced regions. Both are curable if caught early yet TB deaths are approximately 1.23 million annually, pneumonia 2 million each year, 700,000 of which are children under five.

Prashant Warier, Founder and CEO of Qure.ai
Prashant Warier, Founder and CEO of Qure.ai

In a bid to reach the unreachable we have innovated our way around the world over the last 10 years, taking AI-enabled X-ray to some of the remotest regions of sub-Saharan Africa, to the heights of Everest and depths of rural Southeast Asia, tackling the detection and diagnosis of TB. This is powerful progress that has reduced diagnosis rates from 14 days to 1-2 days, without even a clinician present. Now, with this grant from the Gates Foundation, we are excited to leverage this expertise further to scale and reach more people,” states Prashant Warier, Founder and CEO of Qure.ai.

With the very latest developments in digital health and artificial intelligence, Qure.ai can help reach healthcare’s blind spots, bringing high-quality diagnostics within reach of every clinic, health worker, and child, no matter where they live,” adds Dr. Shibu Vijayan, Chief Medical Officer – Global Health at Qure.ai.

This grant will allow us to build on the years of continuous innovation we have spearheaded in public health and our commitment to pushing the boundaries of what AI can do for global health. It brings together pneumonia, tuberculosis, and broader lung health priorities, with a focus on children in low and middle-income countries. A child dies of pneumonia every 43 seconds which is an unacceptable and an avoidable loss. It underscores the urgent need for better diagnostics and equitable access to care,” said Dr Justy Antony Chiramal, Project Lead and Clinical Director, Global Health Innovation at Qure.ai.

Qure.ai is a global health innovator, with deployments across 105+ countries and 4,800+ sites worldwide identifying and managing TB, Lung Cancer and Neurocritical findings such as Stroke.

About Qure.ai

Qure.ai
Qure.ai is a global AI company innovating diagnostic solutions in healthcare for early detection and care management. Qure's solutions power early diagnosis in lung cancer, neurology and infectious disease to support clinicians and propel developments in the pharmaceutical and medical device industries. The company empowers healthcare workers or health systems by helping to identify conditions fast, prioritize treatment planning and ultimately improve quality of patient life.

Qure.ai has deployments in over 105 countries, with regional offices in New York, London, Dubai and Mumbai. It is a TIME100 Most Influential Company 2025

AI Meets Cardiology: Bayosthiti and Narayana Partner to Predict Heart Disease in Indian Patients



Bayosthiti AI, an innovator in AI-driven healthcare and molecular diagnostics, announced a strategic partnership with Narayana Health, one of the world's largest cardiac care networks, to develop AI models that predict cardiovascular disease in Indian patients. The collaboration leverages RNA sequencing to read the active molecular instructions in cells, combined with gen AI to identify heart disease risk earlier and more accurately than conventional methods.

The study will analyze transcriptomic data (the complete set of active cellular RNA messages) from over 12,000 participants at Narayana Institute of Cardiac Sciences in Bengaluru. Using Bayosthiti's proprietary BIRT™ technology, researchers will sequence complete RNA profiles from patient blood samples to train AI models. These models will be capable of detecting distinctive patterns of cellular activity that signal coronary artery disease (blockages in heart arteries) before traditional tests show abnormalities.

Coronary artery disease affects 65 million Indians and strikes at younger ages than in Western populations. Yet, diagnostic tools remain largely calibrated to European and American patient data, creating what clinicians call the "Data Gap." Standard risk scores miss critical patterns in South Asian biology shaped by distinct genetic backgrounds and environmental factors, leading to late-stage diagnoses when intervention options narrow.

Bayosthiti AI and Narayana Health are solving this through molecular innovation and clinical scale. Narayana performs over 60,000 cardiac procedures annually, generating rich clinical data. Bayosthiti's BIRT™ (Barcode-Integrated Reverse Transcription) technology sequences complete RNA profiles at a fraction of traditional costs by processing multiple patient samples in parallel. This breakthrough makes it economically viable to build the massive datasets required to train robust AI models tailored for Indian populations, ensuring highly accurate and individualized genetic analysis.

Current diagnostics rely on anatomical imaging or protein markers, both of which detect disease after it has physically manifested. RNA sequencing captures the dynamic instructions cells are executing in real time. By analyzing which genetic instructions are being transcribed (actively used to make proteins) and at what levels, Bayosthiti's AI can detect when biological systems shift toward disease states, potentially months or years before structural damage appears.

"Just as Google Translate learned language patterns from billions of text examples, our AI learns disease patterns from millions of RNA expressions," said Dr. Rishabh M. Shetty, Head of Business Development and Clinical Applications at Bayosthiti AI. "The transcriptome gives us a real-time readout of what the body is doing right now. Our models can spot the molecular conversation that precedes a heart attack, not just the aftermath, and can do so with the same level of accuracy and efficacy as invasive procedures or other current imaging gold standards."

The clinical credibility matters. Narayana Health's scale and reputation make it an ideal validation partner. Its leadership views AI integration as the next frontier in expanding access and improving outcomes. "AI-based technologies aren't the future of medicine. They're the present," said Dr. P.M. Uthappa, Group Chief Medical Director at Narayana Health. "This collaboration lets us move from intervention to prevention. The ability to identify high-risk patients earlier and more precisely is a clinical game-changer."

The partnership builds on Bayosthiti's momentum since establishing operations in India. The company has processed samples from over 100 collaborations globally, and this study represents a significant expansion in both scope and strategic importance.

"We've relied too long on a one-size-fits-all approach to medicine," said Kutapa Muthanna, CEO of Bayosthiti AI. "This isn't just about closing a data gap. It's about building the foundation for proactive, personalized medicine created by Indians, for Indians. When we can tell someone their heart disease risk is rising before any scan shows blockage, we transform care from reactive to preventive."

The three-phase study design allows for continuous improvement. Successfully validating these AI models would provide proof-of-concept for deploying similar approaches for other high-burden diseases in India. As the partnership progresses, findings will inform the development of a blood-based diagnostic test deployable at scale across India's healthcare system.

About Bayosthiti AI

Bayosthiti AI, a wholly-owned subsidiary of US-based Biostate AI, is India’s first AI-first healthcare company pioneering Lifetime Health Management. By integrating patented BIRT™ and other cutting-edge molecular technologies with advanced generative AI, Bayosthiti is building a foundational health-tech platform for India. This platform includes 24/7 AI Clinical Assistants and AI Scientists for patients, clinicians, and researchers, making personalized precision care a reality for all.

For more information, visit https://bayosthiti.ai/.

About Narayana Hrudayalaya

Narayana Hrudayalaya, operating under the brand name Narayana Health, is one of India’s leading private healthcare service providers. The group operates a nationwide network of hospitals with a mission to deliver high-quality, safe and technology-enabled healthcare to the broader population. Renowned globally for its expertise in Cardiac Sciences, Narayana Health has been at the forefront of heart care for over two decades, performing one of the highest volumes of cardiac procedures in the world.

As the only hospital group in India with Enterprise-level Joint Commission International (JCI) accreditation, Narayana Health upholds the highest standards of quality and patient safety across its network. Guided by its core values of Quality, Compassion, and Innovation, Narayana Health remains committed to its vision of ‘Health for all. All for Health.’

For more information, visit narayanahealth.org.

IIT-AIIMS Jodhpur Develop AI Tool to Revolutionize Childhood Malnutrition Screening

IIT-AIIMS Jodhpur Develop AI Tool to Revolutionize Childhood Malnutrition Screening
  • The IIT-AIIMS Jodhpur team have developed DomainAdapt, an AI-powered framework to detect childhood malnutrition using photos. Coupled with the AnthroVision dataset, it provides fast, scalable & accurate assessment of stunting, wasting & underweight in children.
Researchers at the Indian Institute of Technology (IIT) and All India Institute of Medical Science (AIIMS) Jodhpur have leveraged the power of artificial intelligence (AI) to better identify malnutrition in children.

The new method, published in the open-access journal MICCAI, addresses one of the most pressing global health challenges, the accurate and scalable assessment of childhood malnutrition.

The study introduced DomainAdapt, a novel multitasking learning framework that dynamically adjusts task weights using domain knowledge and mutual information.

This allows the system to more accurately predict key anthropometric measures such as height, weight and mid-upper arm circumference (MUAC), while simultaneously classifying malnutrition-related conditions such as stunting, wasting and underweight.

While these measures are also assessed using the traditional screening methods, they pose challenges in terms of the subjectivity of the worker, the time-consuming process of measuring each aspect one by one, and the lack of scalability.

By simply capturing photos of a child, our framework can estimate nutritional status without the need for complex and time-consuming anthropometric measurements.” explained Misaal Khan, a doctoral student in medical technology at IIT-AIIMS, who led the study.

IIT-AIIMS Jodhpur Develop AI Tool to Revolutionize Childhood Malnutrition Screening
Misaal Khan

This makes malnutrition screening faster, more accessible and highly scalable, especially in resource-limited settings.” Khan added.

Further, a cornerstone of the research is AnthroVision, a first-of-its-kind dataset containing 16,938 multi-pose images from 2,141 children collected across both clinical (AIIMS Jodhpur) and community (government schools in Rajasthan) settings.

The dataset captures diverse backgrounds, clothing and lighting conditions, making it a robust resource for advancing automated child health assessment.

Through rigorous experimentation, DomainAdapt demonstrated significant improvements over existing multitask learning methods, offering a reliable AI-driven solution to accelerate malnutrition detection worldwide.

“This research represents a vital step toward equitable healthcare access.” said Khan.

“By blending AI and domain expertise, we can empower healthcare workers and public health systems with tools that are cost-effective, accurate, and scalable.” she added.

Life Sciences Leaders Reimagine AI-Powered Commercialization at Indegene Digital Summit 2025

Senior life sciences executives convene at the Indegene Digital Summit 2025 to explore how AI is transforming commercialization. The invite-only event at Philadelphia’s iconic Barnes Foundation features global experts sharing real-world insights and showcases programs delivering measurable impact.

Now in its 7th edition, Indegene Digital Summit is a flagship thought leadership platform for the life sciences industry, facilitating dialogue among senior executives, regulators, and digital innovators. This year’s theme, “From Chaos to Clarity - and Better Decisions”, focused on delivering tangible value beyond the hype of Generative AI (GenAI).

Industry leaders share how they are transforming commercial operations, advancing technology initiatives, and rethinking strategy to drive greater impact. Executives engage in wide-ranging yet practical discussions on data unification across the value chain, agent-augmented workforce, GenAI in commercial operations, evolving pharma regulations, zero-rep commercial models, and the future of customer engagement, among others.

The Vital Awards: Recognizing Leaders Shaping the Future of Life Sciences

At the Summit, the Vital Awards celebrates life sciences professionals at the forefront of scientific and technological convergence - who embody bold thinking, transformative work, and an unwavering pursuit of progress to define the future of healthcare. The awards honor innovation and impact across 4 categories:
  1. Patient Impact: Leaders engaging, supporting, and empowering patients through innovative treatments, campaigns, or programs.
  2. Community Impact: Leaders contributing knowledge, leadership, and action to benefit underserved groups, healthcare professionals, not-for-profits, academia, and the broader ecosystem.
  3. Organizational Impact: Leaders transforming organizations through bold and innovative use of data, technology adoption, and fostering collaboration.
  4. Market Impact: Leaders driving measurable market success through innovative launch strategies, go-to-market models, and operational excellence.
All nominations underwent a rigorous evaluation by a distinguished, cross-disciplinary jury comprising senior leaders from industry, academia, policy, media, and analyst domains of the life sciences ecosystem. The jury included:
Their combined expertise and diverse perspectives selected honorees based on innovation, measurable impact, and leadership excellence across the life sciences ecosystem.

Vital Awards 2025 Honorees
  • Patient Impact: Sunil Verma, SVP, Global Head, Oncology Franchise, AstraZeneca
  • Organizational Impact: Nathan Bowmaker, Head of Global Commercial Operations, AstraZeneca; and Catherine Galvin, VP, Global Marketing Digital & AI Business Transformation, Merck
  • Market Impact: Marion Dumas, Global Head of Omnichannel, Sanofi
Speaking on the occasion, Manish Gupta, Chairman and CEO, Indegene, said, “Many congratulations to all the honorees. Your innovation and impact are helping our industry shift growth trajectories and become future-ready, inspiring the broader ecosystem to redefine what’s possible. I also want to thank our eminent jury for recognizing leaders whose breakthroughs continue to push the boundaries.”

Indegene Digital Summit is a #FutureReadyHealthcare initiative, orchestrated by Indegene.

For live updates, follow #FutureReadyHealthcare on LinkedIn.

With deep conversations sans sales pitches, the summit continues to facilitate an open exchange of ideas, encourage collaboration, and promote thought leadership. For the session recordings, summaries and more, visit: https://digitalsummit.indegene.com/

AI Designs Viruses That Kill Bacteria—A New Frontier in Synthetic Biology

AI Designs Viruses That Kill Bacteria—A New Frontier in Synthetic Biology

In a stunning leap for synthetic biology, scientists have used artificial intelligence to design viruses that can infect and kill bacteria—ushering in a new era of programmable life forms and potentially revolutionizing medicine.

Researchers at Stanford University and the Arc Institute trained an AI model named Evo on over 2 million bacteriophage genomes. The goal? To teach the system how nature builds viruses that target bacteria. Evo didn’t just remix existing genetic material—it generated 302 entirely new viral genomes, many of which had never existed in nature.

Of those, 16 assembled into fully functional viruses that successfully infected and destroyed E. coli bacteria in lab tests. This marks the first time AI has been used to design complete, working viruses from scratch.
“We’re not just accelerating evolution—we’re directing it,” said one of the lead researchers. “This opens the door to custom-built phages that could target antibiotic-resistant bacteria with surgical precision.”

Why This Matters

  • Antibiotic resistance is one of the biggest threats to global health, with superbugs killing over a million people annually.
  • Phage therapy, which uses viruses to kill bacteria, has long been seen as a promising alternative—but finding the right phage is slow and unpredictable.
  • AI could dramatically speed up the discovery and design of targeted phages, potentially enabling personalized treatments for infections.

The Ethical Frontier

While the study focused solely on bacteriophages and excluded viruses that infect humans, the implications are profound. Experts warn that AI-designed viruses could behave unpredictably in complex ecosystems. There are also concerns about biosecurity and the potential misuse of such technology.
“We need robust oversight and ethical frameworks,” said a bioethicist not involved in the study. “This is powerful tech, and with great power comes great responsibility.”

What’s Next?

  • The team plans to expand Evo’s capabilities to design phages for other bacterial strains, including those responsible for hospital-acquired infections.
  • There’s growing interest in using AI to design viruses for agriculture, microbiome engineering, and environmental cleanup.
This breakthrough isn’t just about killing bacteria—it’s about reimagining what life can be. With AI as a co-creator, biology may no longer be bound by the slow march of evolution. It’s entering the age of intelligent design.

Dectrocel Bags ₹4 Crore from BioAngels, PadUp Ventures to Accelerate AI-Powered Healthcare Tools

Dectrocel Bags ₹4 Crore from BioAngels, PadUp Ventures to Accelerate AI-Powered Healthcare Tools

Dectrocel, a pioneering health-tech company developing AI-powered diagnostic solutions, has raised ₹4 crore in recent funding. The round was led by IAN Group-powered BioAngels, with participation from PadUp Ventures and Vinners.

Key investors from IAN in this round include Nitin Zamre, Samir Kalia, and Mitesh Shah. The fresh infusion of capital will be used to scale Dectrocel’s commercial operations across India, enhance its self-learning foundational multimodal AI technology, expand into international markets, and accelerate the launch of its upcoming AI Tools in CT /MRI/PET-CT and HPB diagnostic modules.

Headquartered in Lucknow, Uttar Pradesh, Dectrocel has launched its flagship product, DecXpert, which is one of only three AI-based diagnostic tools approved by the Central Drugs Standard Control Organization (CDSCO) for clinical use in India. The platform delivers chest X-ray and CT-scan interpretations that are 10 times faster and 98% accurate, addressing India’s acute radiologist shortage - currently at a staggering 1:125,000 doctor-to-patient ratio. This shortage results in diagnosis delays of 7 to 10 days and error rates of up to 40%, particularly in tier-2 and smaller cities where timely intervention can be life-saving.

Dectrocel was founded by Ankit Shukla, an AI-in-medicine expert from the University of Queensland; MS in Infectious Diseases from Duke Medical School, NUS, Singapore. Saumya Shukla, a Doctorate in Public Health from SGPGIMS with an MBA from NUS and MS in Data Science from Harvard; and Nikhil Mishra, an IIT Kanpur Researcher specializing in AI and machine learning applications in medicine.

The company’s mission stems from a deeply personal experience where a patient with a persistent cough went undiagnosed for months due to delayed X-ray interpretations and ultimately succumbed to late-stage lung cancer. This tragedy transformed the founders’ vision into a life-saving mission to democratize access to expert-level diagnostic capabilities for every patient, regardless of geography or income.

UST and ThinkBio.Ai Forge Strategic Alliance to Accelerate AI-Driven Innovation in Biopharma and Healthcare

UST and ThinkBio.Ai Forge Strategic Alliance to Accelerate AI-Driven Innovation in Biopharma and Healthcare

UST, a leading digital transformation solutions company, has partnered with ThinkBio.Ai®, an AI-powered solutions provider for biopharmaceutical and healthcare organizations. This strategic partnership will empower UST to more efficiently leverage its expertise in digital transformation and advanced solutions to complement ThinkBio.Ai’s innovative AI-powered R&D capabilities. Together, the companies will deliver transformative solutions that accelerate AI transformation journeys and improve outcomes for biopharma and healthcare organizations worldwide.

Leveraging advanced in-house expertise in oncology, immunology, neurology, and cardiology, ThinkBio.Ai has developed a suite of AI-powered solutions to address critical challenges across pharma and biotech preclinical and clinical R&D pipelines. These include data-driven strategies to identify the most optimal treatments, salvaging failed drugs through repurposing or combination therapies, and improving clinical trial success through biomarker-driven patient stratification and digital twin-enabled trial matching.

In addition, ThinkBio.Ai’s AI-enhanced Research Co-pilot (R-COP™) utilizes AI to extend the existing Laboratory Information Management System (LIMS) capabilities. Fully interoperable with existing infrastructure, this next-generation tool transforms routine processes into dynamic, insight-driven research operations. These solutions are designed to support biopharma companies and healthcare providers in accelerating innovation and improving patient care.

ThinkBio.Ai’s biological and clinical insights are powered by experts and delivered through the BioThinkHub™ data platform, drawing from expertly curated data and knowledge from proprietary and public data sources.

This partnership will bring our unique AI and knowledge-based transformation products and solutions for Research and Discovery (R&D) to UST’s focus on digital transformation capabilities and building Gen AI solutions for different industries, including the life science sector. Together, we will build custom ecosystems to help clients and partners stay ahead in a well-regulated, dynamic, and competitive landscape,” said Pradeep Palazhi, Founder and Chief Executive Officer, ThinkBio.Ai®.

We will integrate ThinkBio.Ai’s AI-powered R&D transformation solutions with UST’s strengths in digital transformation and Gen AI across life sciences – pharma, biotech, and medical devices. This strategic collaboration will drive innovation, accelerate time-to-value, and deliver measurable impact across the research and development value chain for our customers,” said Anu Koshy, Life Science cluster leader, UST.

Jaslok Hospital Partners with AnginaX AI to Launch Maharashtra’s First Operational AI-Powered Heart Disease Prevention Model

Jaslok Hospital Partners with AnginaX AI to Launch Maharashtra’s First Operational AI-Powered Heart Disease Prevention Model

In a landmark initiative that could redefine how India tackles its leading cause of death, Jaslok Hospital & Research Centre has partnered with AnginaX AI, India’s first licensed AI Doctor Assistant in cardiology, to launch Maharashtra’s first operational AI-powered heart disease prevention model.

This collaboration places Jaslok at the forefront of India’s shift from late-stage cardiac intervention to early, technology-driven prevention. The advanced AnginaX AI system, now deployed across Jaslok’s outpatient departments, enables doctors to assess cardiovascular risk in just seconds using structured, science-backed reports that identify risk even before symptoms appear and recommend personalized lifestyle and treatment plans.

With heart disease affecting millions of Indians and often going undetected until it’s too late, this prevention model brings speed, clarity, and access to the very first point of contact: the OPD.

For decades, cardiology has focused on damage control.” said Padma Bhushan Awardee Dr. Ashwin B. Mehta, Director of Cardiology at Jaslok Hospital. “But with advanced AI, we can now assess who is at risk before damage begins. This is not just innovation, but reimagining the timeline of care."

The AnginaX system evaluates more than 20 critical clinical and lifestyle-based indicators, including extended lipid profiles, blood sugar, inflammatory biomarkers, metabolic complexities, family history, and lifestyle patterns. Based on validated Indian data, the system generates a structured clinical summary that includes individualized risk stratification, investigation recommendations specific to each patient, and clear, actionable treatment and follow-up guidance.

“The AnginaX AI system gives us clinical clarity in under a minute, especially vital in high-volume OPD settings.” said Dr. Ajit Desai, Senior Cardiologist at Jaslok. “We’re now able to consult more patients, detect silent risks early, and guide people to act before their first symptom.”

Recognizing that cost and fear are often barriers to early checkups, Jaslok and AnginaX have ensured the program is fast, accessible and affordable, making prevention routine rather than rare.

This isn’t just about digital transformation, but about medical timing,” said Mr. Jitendra Haryan, CEO of Jaslok Hospital. “Our hospital is proud to lead this change in India’s healthcare system. When technology and medicine work together, lives are saved earlier.”

Jaslok also launched AI-powered initiative “Dil Fit, Life Hit” under the leadership of Dr. Ashwin B. Mehta, bringing structured cardiovascular prevention into everyday clinical care. The program empowers doctors, transforms OPD practice, and makes prevention accessible to every patient, not just those with symptoms.

Naman Gosalia, Founder of AnginaX AI, added: “We’ve built an advanced AI medical system that fits seamlessly into any hospital or clinic, helping doctors halt the progression of cardiovascular disease through precision-led risk assessment and personalized treatment recommendations. Our mission is to bring primary prevention to every clinic, every hospital and every corner of India without disrupting how doctors practice.”

The KPI of this model was simple: could it work on my own mother? We made a clear decision that we would only release it if it worked on her. We tested it on our mother first before going into the pilot. That trial was successful and it gave us the conviction to move forward.” he said.

“Launching it at Jaslok and having their leadership activate it first in Maharashtra, reflects a shared belief that people deserve better outcomes, and prevention should not come with fear, friction, or financial burden. This partnership helps us put the patient first and take this mission to scale across India.”

Dr. Neeraj Desai, Strategic Medical Advisor at AnginaX AI said, “AnginaX AI system is a bridge between data and decision, between missed chances and timely care. In medicine, timing is everything. And for the first time, we are putting timing on the side of prevention”. 

AI-based screening has already begun at Jaslok. Doctors are now taking swift, informed preventive steps, especially for patients who might otherwise remain undiagn

AI-Powered Eye Scan Slashes Diagnosis Time from Weeks to Seconds!

AI-Powered Eye Scan Slashes Diagnosis Time from Weeks to Seconds!

Taiwan-based Acer Medical’s artificial intelligence-assisted diagnostic software and a combination of Intel hardware- and software-based technology, is making eye lesion detection dramatically faster, said Acer Medical, a subsidiary of Acer group in an official blog post.

Traditionally, diagnosing conditions like diabetic retinopathy or age-related macular degeneration could take weeks, especially when multiple specialists were involved. Now, thanks to Acer Medical’s AI-assisted diagnostic software running on Intel-backed AI PCs, results can be delivered in seconds.

The system uses high-resolution fundus photography to scan the inner eye, with AI algorithms analyzing images instantly. This eliminates the need for dilation-related eye drops and long wait times. The AI PC processes everything locally, meaning no internet connection is required—making it ideal for remote healthcare.

 
AI-Powered Eye Scan Slashes Diagnosis Time from Weeks to Seconds!

AI-Powered Eye Scan Slashes Diagnosis Time from Weeks to Seconds!
Dr. Hsieh Yi-Ting (foreground) demonstrates detailed eye scans of a patient on his Acer Travelmate Spin P4 AI PC, connected to a high-resolution fundus camera. Thanks to AI algorithms developed using Intel OpenVINO tool kits, the medical team sees results in just 10 seconds. (Image Credit: Intel Corporation)
Results are processed using Acer Medical’s VeriSee DR for diabetic retinopathy and VeriSee Age-related Macular Degeneration (VeriSee AMD) for age-related macular degeneration.

Created by Acer Medical in partnership with medical specialists, the technology is available in 13 countries.

Dr. Hsieh Yi-Ting, a retina specialist at National Taiwan University Hospital, developed the VeriSee DR and VeriSee AMD solutions, which are now available in 13 countries. These tools help doctors prioritize cases and expedite treatment, but they don’t replace medical professionals—rather, they enhance their ability to provide faster, more accurate care.

Acer Medical is a subsidiary of the Acer Group specializing in AI-driven medical diagnostics. They focus on leveraging artificial intelligence, clinical data, and software development to create healthcare solutions. The company's technology has been implemented in over 300 hospitals and clinics, serving an estimated 450,000 patients annually.

Their AI-powered tools, like VeriSee DR and VeriSee AMD, help detect eye diseases such as diabetic retinopathy and age-related macular degeneration in seconds, significantly reducing diagnosis time.
 
This AI-driven approach is a game-changer for rural healthcare, allowing specialists to diagnose patients far from hospitals. What do you think about AI’s expanding role in medicine? Do comment your opinion below...

66% HealthTech Leaders Say Their Organizations Generating Business Value From Several Ai Use Cases :KPMG Report

66% HealthTech Leaders Say Their Organizations Generating Business Value From Several Ai Use Cases :KPMG Report

KPMG has unveiled a new report titled “KPMG Global Tech Report: Healthcare Insights” to better understand how healthcare organizations are navigating the complexities of digital transformation, targeting their technology investments, and deriving value.

By examining the perspectives of 122 healthcare technology leaders from around the world (based on a comprehensive survey of 2,450 global technology leaders including chief digital officers, CIOs, CTOs, CISOs, chief AI officers and other executives) the report provides valuable insights into how healthcare systems and organizations are on the precipice of a technology revolution, and are leveraging advanced technologies and tools to streamline operations, reduce costs and, above all, enhance patient experiences.

“Today healthcare technology leaders believe robust regulatory frameworks are a must to ensure the safety and privacy of data in cloud-hosted solutions. They believe this assurance enables them to advance technological innovation with confidence. Prioritizing comprehensive data interoperability frameworks is critical for seamless communication between systems across organizations and jurisdictions. Such connectivity can drive accurate patient care, promote global collaboration in medical research, and strengthen AI model training through access to diverse datasets.” said Lalit Mistry Partner and Co-head, Healthcare Sector, KPMG in India.

Key Findings from the Report:
  • 70 per cent of healthcare respondents are satisfied with the amount of value they are getting from their technology investments.
  • Compared with a year ago, more healthcare organizations are developing and testing data and analytics strategies or already have a strategic vision for their capabilities
  • 70 per cent say cyber security teams are typically involved in the earliest planning stages and have a high degree of influence when it comes to tech investment decision-making
  • 66 per cent of healthcare technology leaders say their organizations are generating business value from several AI use cases
  • 61 per cent of healthcare technology leaders are currently prioritising AI and Automation as they consider how to invest in technology to support their ambitions.
  • 57 per cent admit that flaws in their organizations’ enterprise IT systems disrupt business as usual on a weekly basis.
  • Top 3 factors slowing down digital transformation in healthcare includes – Cyber security and privacy concerns, transformation fatigue and immature data management strategies. 
  • Healthcare leads all other sectors when it comes to prioritizing and investing in Web3 technology including blockchain and tokenization.

Indian Ophthalmologist Performs Asia’s First AI-Designed Intraocular Lens Implantation

Indian Ophthalmologist Performs Asia’s First AI-Designed Intraocular Lens Implantation
Dr. Sri Ganesh, Founder and CMD of Nethradhama, became the first surgeon in Asia to carry out the procedure, which helps cataract and astigmatism patients achieve clear vision across all distances with reduced dependence on glasses.

Nethradhama Super Speciality Eye Hospital, Bengaluru, a pioneering institution in eye care, has performed Asia’s first AI-designed intraocular lens implantation. Under the leadership of Professor Dr. Sri Ganesh, Chairman & Managing Director of Nethradhama Super Speciality Eye Hospital and Founder Trustee of Shraddha Eye Care Trust, the hospital achieved this milestone, making him the first surgeon in Asia to carry out the procedure using Rayner RayOne Galaxy and Galaxy Toric intraocular lenses (IOLs).

Our goal is always to provide the best solutions for our patients, and this innovation allows us to offer superior vision outcomes with minimal side effects,” said Dr. Sri Ganesh.By leveraging AI-driven technology in intraocular lens design, we can achieve greater precision, enhanced customization, and improved patient satisfaction.

This represents a notable advancement in AI-driven vision correction and a significant step forward in refractive cataract surgery, bringing us closer to more personalized vision solutions.

The biggest challenge with previous IOLs has been balancing vision quality with night vision clarity,” explained Dr. Sri Ganesh.This new lens overcomes this by using AI to optimize light distribution, giving patients an exceptional visual experience. It revolutionizes vision with its non-diffractive, AI-optimized spiral design, ensuring seamless clarity at all distances while enhancing contrast sensitivity. Unlike traditional trifocal lenses, it evenly distributes light across all focal points, reducing halos and glare for improved night vision. Its innovative optical structure enhances contrast even in low light, and the toric variant offers optimal rotational stability for precise astigmatic correction."

Dr. Sri Ganesh 
These lenses are specifically designed for patients with cataracts and astigmatism who seek reduced dependence—or complete independence—from glasses.

For our patients, achieving true spectacle independence has always been a priority. They are particularly beneficial for individuals who require excellent vision across all distances while maintaining good night vision for driving and other low-light activities,” noted Dr. Sri Ganesh.

According to Dr. Sri Ganesh, the initial post-operative results have been extremely promising, with patients reporting excellent visual clarity within the first 24 hours. He added that long-term studies will continue to assess patient-reported experiences, particularly in real-world conditions like night driving and low-light environments.

Dr. Sri Ganesh is widely recognized for his expertise in high-risk surgeries, earning a stellar reputation in the field of advanced eye care. With an impeccable track record, he has performed over 100,000 Phaco surgeries and 50,000 Refractive surgeries, demonstrating exceptional surgical precision and innovation. His expertise is highly sought after on the global stage, serving on the advisory boards of leading companies such as Carl Zeiss Meditec Germany and J&J Vision USA. Beyond surgery, he has played a pivotal role in ophthalmic innovation, holding multiple patents for groundbreaking solutions that continue to shape the future of eye care.

To ensure an informed decision-making process, Nethradhama Super Speciality Eye Hospital offers comprehensive counseling and visual simulation sessions for patients considering these AI-designed IOLs. These sessions allow patients to preview their expected vision outcomes, including night vision improvements.

“With AI-driven advancements like these, we are witnessing a paradigm shift in ophthalmology. Our mission at Nethradhama Super Speciality Eye Hospital is to continually push the boundaries of innovation to provide our patients with the best possible visual outcomes. We are thrilled to bring this revolutionary technology to Asia and look forward to its impact on the future of vision correction,” added Dr. Sri Ganesh

Under Dr. Sri Ganesh’s leadership, Nethradhama is committed to innovation and excellence, continuously integrating state-of-the-art technologies to ensure the best possible visual outcomes for patients. Through its dedication to research, training, and compassionate care, it has established itself as a trusted name in eye health, both in India and globally.

Zoho's Sridhar Vembu To Co-Chair Oversee Committee for 3 AI CoEs

Zoho's Sridhar Vembu To Co-Chair Oversee Committee for 3 AI CoEs

Dharmendra Pradhan to Announce 3 AI-CoE on Healthcare, Agriculture and Sustainable Cities on 15 Oct.'24

Union Minister for Education, Shri Dharmendra Pradhan, will be announcing three AI Centres of Excellence (CoE) focused on Healthcare, Agriculture, and Sustainable Cities on 15th October 2024 in New Delhi.

To realize the vision of "Viksit Bharat," these three CoEs for Artificial Intelligence (AI) will be led by top educational institutions, in consortium with industry partners and startups. They will conduct interdisciplinary research, develop cutting-edge applications, and create scalable solutions in these three areas. This initiative aims to galvanize an effective AI ecosystem and nurture quality human resources in these critical fields.

To oversee the implementation of this initiative, an industry heavy Apex Committee has been constituted, co-chaired by Dr. Sridhar Vembu, Founder and CEO of Zoho Corporation.

As part of the vision to "Make AI in India and Make AI work for India," the establishment of these centres was announced under Para 60 of the Budget Announcement for 2023-24. In alignment with this, the Government has approved the creation of the three AI Centres of Excellence, with a total financial outlay of Rs. 990.00 Cr over the period of FY 2023-24 to FY 2027-28.

Shri K.Sanjay Murthy, Secretary/HE will grace the occasion, along with Directors of IITs, Heads of higher educational institutions (HEIs), industry leaders, start-up founders and senior officials from various ministries of the Government of India.

Wipro Collab with IISc's Centre for Brain Research for AI/ML -powered R&D on Health and Wellbeing

Wipro Collab with IISc's Centre for Brain Research for AI/ML -powered R&D on Health and Wellbeing

Wipro Limited has announced a collaboration with the Centre for Brain Research (CBR) at the Indian Institute of Science (IISc) to pioneer AI-driven health behavior innovations. This partnership aims to leverage artificial intelligence (AI), machine learning (ML), and big data analytics to develop new technologies for precision support in the prevention and management of long-term health disorders.

The R&D team at Wipro, part of Lab45, will design and develop a personal care engine. This AI system will consider an individual's health history, desired health state, and other behavioral responses to promote healthy aging, positive lifestyle changes, and psycho-social wellbeing. The focus is on reducing and managing the risk of cardiovascular disease and correlated neurodegenerative disorders by personalizing interaction with users, optimizing for their long-term health and wellbeing.

Wipro will conduct a digital app-based trial in collaboration with CBR at IISc to test the engine's effectiveness for contexts deeply relevant for long-term health outcomes. The technological expertise of Wipro combined with the leading brain science research at CBR is expected to unlock new possibilities for patient care and cognitive and overall health. The joint R&D efforts will aim to develop systems that deliver better health outcomes at a population scale.

The personal care engine developed by Wipro in collaboration with the Centre for Brain Research at IISc is an AI-driven system designed to promote long-term health and psycho-social wellbeing. Below is how it works:
  • Data Integration: The engine integrates various data points, including an individual's health history, behavioral responses, and their desired health state.
  • AI and ML Algorithms: Using advanced AI and ML algorithms, the engine analyzes this data to identify patterns and make predictions.
  • Personalization: It then personalizes its interaction with users, tailoring recommendations and support to encourage healthy aging and positive lifestyle changes.
  • Health Management: The focus is on reducing the risk of cardiovascular disease and related neurodegenerative disorders by optimizing for the user's long-term health and wellbeing.
  • App-Based Trial: Wipro will conduct a digital app-based trial to assess the engine's effectiveness in real-world scenarios, ensuring that the technology is beneficial for long-term health outcomes.
This personal care engine represents a significant step towards precision health, leveraging technology to deliver individualized care and support for managing chronic health conditions.

Dr. Ajay Chander, Head of Research and Development, Wipro Limited, said, “Our collaboration with CBR will pioneer solutions at the intersection of computing and cognitive sciences, bringing scalable personalized care support for some of the most chronic health challenges globally. Cardiovascular conditions are a particular focus for us, because of their strong association with long-term cognitive issues and the potential for broad health and wellbeing benefits at lower costs.

Further emphasizing the importance of this partnership, Professor K.V.S. Hari, Director, Centre for Brain Research, said, “Working with Wipro allows us to amplify our scientific expertise through large-scale digital applications. This partnership will accelerate the path from research to real-world solutions in cognitive and overall health.”

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