India Advances AI-Driven Preterm Birth Research
India's GARBH-INi programme, a pregnancy cohort of about 12,000 women, aims to develop indigenous AI-driven solutions to reduce preterm births, Union Minister Dr. Jitendra Singh said on March 23. The initiative has collected over 1.6 million biospecimens and more than one million ultrasound images, launched a national biorepository and GARBH-INi-DRISHTI data-sharing platform, and formalised technology transfers and AI partnerships to accelerate diagnostics and risk stratification.
Key Points
- 1Enrolls 12,000 pregnant women, generating 1.6M biospecimens and over 1M ultrasound images
- 2Integrates clinical epidemiology, multi-omics, microbiome and AI for personalized preterm birth prediction
- 3Enables researchers and companies to develop indigenous diagnostics, AI models, and commercialization pathways
Scoring Rationale
Large, official cohort with actionable AI tools and data-sharing drives high impact; national scope limits broader global reach.
Sources
Public references used for this report.
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