Eros Innovation Announces “Gujarat CARES 2025,” India’s Largest Ethical AI-Driven Preventive Health Initiative, Powered by Eros GenAI in Partnership with Tata Memorial Centre
Mumbai, Jan 05: Eros Innovation, a global artificial intelligence and intellectual property company, has announced a landmark collaboration between its AI-driven health platform Eros LifeScience and the Centre for Cancer Epidemiology (CCE), Tata Memorial Centre (TMC), Mumbai, to launch Gujarat CARES 2025—India’s largest population-scale, AI-powered preventive healthcare initiative.
As one of India’s foremost AI companies, Eros Innovation is focused on building sovereign, ethical AI systems across healthcare, entertainment, and public infrastructure, aligned with national priorities and long-term societal impact.
A First-of-Its-Kind National Preventive Health Study
Gujarat CARES 2025 is a longitudinal, multi-year cohort study powered by Eros GenAI, the sovereign ethical AI foundation-model family developed by Eros Innovation and trained on 1.5 trillion tokens across structured lifestyle, behavioural, and cultural datasets. Designed specifically for health, wellness, and longevity analytics, Eros GenAI aims to shift India’s healthcare paradigm from treatment to prevention, early detection, and improved long-term outcomes.
The study will analyse genetic, lifestyle, environmental, digital, and behavioural determinants across key health domains, including:
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Cancer
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Diabetes and metabolic disorders
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Cardiovascular health
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Kidney and liver diseases
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Women’s health indicators
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Mental health and stress biomarkers
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Ageing and longevity
Building India’s AI-Powered Prevention Infrastructure
Insights generated from the study will feed into Eros LifeScience’s AI Health Graph, enabling:
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AI-based early-warning digital biomarkers
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Personalised preventive health scoring
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Longevity and wellness pathways
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State- and national-level public health dashboards
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Scalable global prevention models for India, Asia, and emerging markets
Together, these capabilities lay the foundation for India’s first AI-powered public health prevention system, built on sovereign, ethical AI and designed for population-scale impact.
Leadership Perspectives
Manju Lulla, Chairperson, Eros LifeScience, said,
“Every family deserves early warning, not late discovery. For decades, Eros has taken Indian stories and cinema to audiences across the world. With Eros LifeScience and Eros GenAI, we now want India to lead in something even more fundamental—keeping people healthier for longer.”
Dr. Rajesh Dixit, Director, Centre for Cancer Epidemiology, Tata Memorial Centre, said,
“Gujarat CARES 2025 represents a major step forward in population-scale preventive health research. We are pleased to partner with Eros LifeScience and Eros GenAI, who are emerging as leaders in applying ethical, large-scale AI to preventive healthcare. Their advanced platforms enable high-quality, actionable insights that can meaningfully shape early detection strategies and public health policy in India.”
Dr. Pankaj Chaturvedi, Director, ACTREC, added,
“Tata Memorial Centre, ACTREC, and the Centre for Cancer Epidemiology are pleased to collaborate with Eros LifeScience on Gujarat CARES 2025. This longitudinal study integrates scientific rigour with strong community engagement to investigate genetic, lifestyle, and environmental risk factors. As an expansion of the Indian Study of Healthy Ageing (ISHA), it is being conducted across Barshi, Varanasi, and Goa to generate evidence that supports personalised risk assessment, early detection, and informed national health policy.”
Dr. Shilpa Desai, CEO – Eros LifeScience & R&D, said,
“Eros LifeScience is building one of the world’s most advanced AI-powered prevention engines. Gujarat CARES will generate real-world scientific evidence to detect risks early, enable timely interventions, and ultimately save lives.”
Eros GenAI: India’s Ethical AI Engine for Health
Developed by Eros Innovation, Eros GenAI forms the AI backbone of Eros LifeScience, offering:
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Health and wellness-focused AI foundation models
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Digital biomarker detection
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Nutrition, fitness, ageing, and stress analytics
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Predictive models for non-communicable diseases
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Longevity scoring algorithms
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Population-scale health intelligence infrastructure
