Health Initiatives

Reimaging health systems with data and AI

We build data ecosystems and AI-based solutions with research, government, nonprofit, startup and corporate partners, through co-innovation programs.

How can AI help reimagine health systems to prevent the next pandemic or climate-induced health risks?

What key innovations might dramatically improve the healthcare experience for common people, especially in primary care and care continuity?

What data ecosystems do we need to drive such innovations?

What are pragmatic starting points for such a long-term vision?

These questions shape our focus areas and initiatives. To be clear, more than AI, we care about developing AI-based solutions that work, scale, and deliver impact as part of our health systems. Since health systems and AI influence each other’s design, we co-innovate iteratively with system constituents.

We also collaborate extensively with researchers and innovators to tackle critical challenges.

Systems Resilience to Health & Climate Risks

GenAI for Health

Screening & Diagnostics

Systems Resilience to Health & Climate Risks

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Heatwaves + Health Risk Prediction
Heatwaves + Health Risk Prediction

AI-Powered Localized Risk Forecasting Systems for Climate Change and Human Health

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Livestock Disease Vaccination Strategy
Livestock Disease Vaccination Strategy

Disease prevention and control measures to safeguard India’s livestock sector

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Dengue Outbreak Prediction
Dengue Outbreak Prediction

Analytics platform and sub-district level risk prediction for Dengue

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GenAI for Health

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Conversational Q&A for Mothers
Conversational Q&A for Mothers

Our Q&A bot will provide on-demand, real-time, accurate, actionable and personalised information on pregnancy and infant care in an effort to improve health-seeking behaviour that could lead to reduced maternal and child mortality and morbidity.

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Conversational Assistant for Frontline Health Workers
Conversational Assistant for Frontline Health Workers

We are building an LLM-based assistant to support workers in accessing timely, accurate and actionable medical knowledge and guidance while training for and managing high-risk pregnancies.

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BellonggAI
BellonggAI

Billions of people in LMICs with marginalized identities (gender, caste, disability, sexual orientation, ethnicity, religion) face suboptimal outcomes due to bias and poorly designed programs/policies that ignore their unique needs. These intersectional considerations are often overlooked in SDG activities, leaving gaps in addressing their needs.

BelonggAI and ARTPARK are developing an LLM-based tool to help development practitioners, funders, and researchers uncover and address these exclusions and make their work more inclusive of marginalized groups.

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Screening & Diagnostics

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MIDAS
MIDAS

Gold standard medical imaging datasets to advance healthcare research in India.

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Datasets for an inclusive India

  • Spoken language changes continuously with geography. It does not change abruptly at state or district boundaries. We are building pan-India speech and text datasets, truly representative of India's rich diversity.

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  • Synthesizing Speech in Indian languages (SYSPIN) is an initiative to create a text-to-speech (TTS) synthesizer in nine Indian languages: Hindi, Bengali, Marathi, Telugu, Bhojpuri, Kannada, Magadhi, Chhattisgarhi and Maithili.

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  • Speech recognition in agriculture and finance for the poor is an initiative to create resources and make them available as a digital public good in the open-source domain to spur research and innovation in speech recognition in nine different Indian: Hindi, Bengali, Marathi, Telugu, Bhojpuri, Kannada, Magadhi, Chhattisgarhi, and Maithili.

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