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.