In a major leap toward self-reliance in defense technology, India is set to develop its very own fifth-generation fighter jet—the Advanced Medium Combat Aircraft (AMCA) . In a historic move, Defence Minister Rajnath Singh has approved an innovative execution model for the indigenous stealth fighter programme. This model brings together Hindustan Aeronautics Limited (HAL) and private industry players in a competitive framework, marking a significant shift in how India approaches military aviation manufacturing. This bold initiative comes at a critical time, as China has already fielded two fifth-generation fighters , and reports indicate it will supply 40 J-35 stealth jets to Pakistan . Against this backdrop, fast-tracking the AMCA has become an urgent national security imperative. AMCA: India’s Indigenous Stealth Fighter Dream The AMCA project , spearheaded by the Aeronautical Development Agency (ADA) under the Defence Research and Development Organisation (DRDO) , received its l...
GARBHINI-DRISHTI: Advancing Maternal and Child Health Research

About GARBHINI-DRISHTI
The Department of Biotechnology (DBT) has launched GARBHINI-DRISHTI, a data dashboard at the Translational Health Science and Technology Institute (THSTI) in Faridabad, Haryana. This initiative aims to improve maternal and child health outcomes by providing a comprehensive and structured database for research and healthcare applications.
Key Features of GARBHINI-DRISHTI
- Comprehensive Data Access: Provides a detailed overview of South Asia's largest maternal and child health database.
- Extensive Clinical Information: Includes clinical data, images, and biospecimens collected from:
- Over 12,000 pregnant women
- Newborns and postpartum mothers
- Part of GARBH-INi Program:
- GARBH-INi (Interdisciplinary Group for Advanced Research on BirtH outcomes) is a flagship initiative of the DBT.
- It aims to use cutting-edge scientific methods to reduce pregnancy complications and adverse birth outcomes.
Significance of GARBHINI-DRISHTI
- Supports Advanced Research: The data will help scientists, researchers, and healthcare professionals study pregnancy-related conditions.
- Enhances Predictive Healthcare: The platform can assist in early detection and prevention of complications such as preterm births, fetal growth restrictions, and other maternal health risks.
- Strengthens Healthcare Policies: Helps in policy formulation to improve maternal and neonatal health services.