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From UPSC perspective, the following things are important :
Prelims level: GARBH-INi-DRISHTI
Why in the News?
India’s first Ferret Research Facility, GARBH-Ini-DRISHTI, was inaugurated at Translational Health Science and Technology Institute (THSTI) in Faridabad to boost vaccine development and infectious disease research.
About GARBH-INi-DRISHTI
- GARBH-INi-DRISHTI is a data repository and information-sharing hub designed to provide comprehensive clinical and biological insights into maternal and child health.
- Developed under the GARBH-INi program, it is one of South Asia’s largest pregnancy cohort datasets, offering access to clinical data, medical images, and bio-specimens.
- The platform includes data from over 12,000 pregnant women, newborns, and postpartum mothers, enabling extensive research into maternal and neonatal health outcomes.
- It is a collaborative initiative, involving India’s top research institutions and hospitals, ensuring scientific synergy in maternal healthcare.
- Aims:
- To enhance maternal and neonatal healthcare research through large-scale data accessibility.
- To support global researchers in conducting transformative studies that can improve birth outcomes.
- To provide early insights into pregnancy-related complications, fostering better diagnostic and preventive measures.
- To develop predictive tools for conditions like preterm birth, ensuring better maternal health interventions.
- Features:
- Comprehensive Data Repository: Houses clinical, imaging, and bio-specimen data from thousands of pregnant women and newborns.
- Advanced Data Access: Researchers can explore detailed datasets to study pregnancy outcomes, foetal health, and postnatal development.
- Secure and Controlled Access: Provides clear guidance on data usage and approvals, ensuring ethical research practices.
- Global Research Platform: Enables nationwide and international collaboration, allowing researchers to work on common healthcare challenges.
- Supports Policy and Decision-Making: The data can be leveraged to shape maternal health policies, improve diagnostic protocols, and design effective interventions.
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