Preterm Birth with AI Solutions BY GARBH-INi

The Indian government highlighted the major outcomes of the GARBH-INi (Group for Advanced Research in BirtH outcomes : DBT India Initiative) study on 23 march 2026 , which is India’s largest pregnancy cohort study designed to tackle preterm birth using indigenous AI solutions.

Outcomes of the Case Study :

The initiative led by the Translational Health Science and Technology Institute (THSTI) and the Department of Biotechnology (DBT), has developed several population specific tools like

1. Researchers created the Garbhini-GA2 model, It is a population specific AI tool for accurate pregnancy dating in the second and third trimesters. It reduces gestational age estimation errors by nearly three times compared to Western models like Hadlock.
2.  The study identified microbiome-based predictors and genetic markers that allow for personalized risk assessments of preterm birth early in pregnancy.
3. The program has enrolled 12,000 pregnant women, generating over 1.6 million biospecimens and 1 million ultrasound images. This data is accessible via the GARBH-INi-DRISHTI data-sharing platform.
4. Teams have developed rapid diagnostic tools and AI-enabled ultrasound reporting systems to improve maternal care, especially in rural areas with limited access to specialists..
   

Technology Transfer and Partnerships:

1.  Significant partnerships were formalised, including the transfer of microbiome-based biotherapeutics technology and a collaboration with Qure.ai for AI-enabled risk stratification platforms.
2. The study involves collaborations with IIT Madras, Safdarjung Hospital, and Christian Medical College Vellore

The initiative is part of a larger national mission aimed at reducing India’s high burden of neonatal mortality and ensuring a healthier population for Viksit Bharat 2047. for more India society issue visit the link

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