🗞️ Why in News The GARBH-INi initiative — South Asia’s largest pregnancy cohort study — is enrolling approximately 12,000 women and deploying AI-driven diagnostics to address India’s preterm birth crisis, which accounts for 3.6 million of the country’s 27 million annual births.
About GARBH-INi
| Feature | Detail |
|---|---|
| Full form | Group for Advanced Research on Birth outcomes — an interdisciplinary INitiative |
| Leading institution | Translational Health Science and Technology Institute (THSTI), Faridabad |
| Under | Department of Biotechnology (DBT), Ministry of Science & Technology |
| Cohort size | ~12,000 women enrolled |
| Biorepository | 1.6 million biospecimens |
| Imaging data | 1 million ultrasound images |
| Distinction | South Asia’s largest pregnancy cohort |
India’s Preterm Birth Crisis
India ranks first globally in absolute number of preterm births:
| Metric | Value |
|---|---|
| Total annual births in India | ~27 million |
| Preterm births (before 37 weeks) | ~3.6 million (13.3%) |
| Global preterm births | ~15 million/year |
| Preterm birth: Leading cause of | Under-5 mortality worldwide |
| India’s share of global preterm births | ~24% |
AI-Driven Solutions
Pregnancy Dating Models
Traditional pregnancy dating relies on the Last Menstrual Period (LMP) method, which is inaccurate for ~40% of Indian women due to irregular cycles and late booking. GARBH-INi’s AI models use ultrasound measurements and biochemical markers to predict gestational age more accurately.
Microbiome-Based Predictors
The vaginal and gut microbiome composition during pregnancy has been linked to preterm birth risk. GARBH-INi’s machine learning models identify high-risk microbial signatures in early pregnancy, enabling targeted interventions.
Rapid Point-of-Care Diagnostics
Designed for Accredited Social Health Activists (ASHAs) and Auxiliary Nurse Midwives (ANMs) at Primary Health Centres:
- Paper-based rapid tests that detect preterm birth biomarkers from a drop of blood
- Results in 15–20 minutes without laboratory equipment
- Enables early referral of high-risk pregnancies to district hospitals
AI in Healthcare — SAHI Framework
The Ministry of Health has unveiled the SAHI (Strategy for AI in Healthcare for India) framework to govern AI deployment in the health sector:
- AI-based cancer detection tools classified as Class C medical devices under regulatory oversight
- MegCan Care Project: Free AI-driven cancer screening for 1 million individuals
- Focus areas: radiology, pathology, maternal health, disease surveillance
THSTI and DBT
The Translational Health Science and Technology Institute (THSTI) is part of the NCR Biotech Science Cluster in Faridabad — India’s largest biotech research campus:
| Institution | Focus |
|---|---|
| THSTI | Translational research — lab to clinic |
| RCB (Regional Centre for Biotechnology) | International training and education |
| NIBMG (National Institute of Biomedical Genomics) | Genomics and precision medicine |
| DBT-BIRAC | Biotech startup funding and incubation |
UPSC Relevance
Prelims: GARBH-INi full form, THSTI, DBT, WHO definition of preterm birth, India’s rank in preterm births
Mains GS-2: Health policy — maternal and child health, role of AI in public healthcare delivery
Mains GS-3: Science & Technology — AI applications in healthcare, indigenisation of diagnostics
📌 Facts Corner — Knowledgepedia
GARBH-INi:
- Full form: Group for Advanced Research on Birth outcomes — an interdisciplinary INitiative
- Led by: THSTI, Faridabad (under DBT)
- Cohort: ~12,000 women; 1.6 million biospecimens; 1 million ultrasound images
- India’s preterm births: 3.6 million/year (1st globally in absolute numbers)
- Preterm defined: Birth before 37 completed weeks of gestation
AI in Healthcare (India):
- SAHI: Strategy for AI in Healthcare for India (MoHFW framework)
- AI cancer tools: Classified as Class C medical devices
- MegCan Care: Free AI-driven cancer screening for 1 million people
- AI Pap smear accuracy: 94%; 380x faster than manual pathology
Other Relevant Facts:
- THSTI location: NCR Biotech Science Cluster, Faridabad
- DBT: Department of Biotechnology (Ministry of Science & Technology)
- Global preterm births: ~15 million/year; 1 million die from complications annually
- SDG 3.2: End preventable deaths of newborns and under-5 children by 2030
- India’s NMR (Neonatal Mortality Rate): ~20 per 1,000 live births (SRS 2022)
Sources: The Hindu, Indian Express, DBT