IIT Madras, THSTI Faridabad researchers develop AI model to determine foetus age
Scientists of IIT Madras and THSTI Faridabad developed the AI model as part of the ‘Interdisciplinary group for advanced research on birth outcomes – DBT India initiative’.
Divyansh | February 26, 2024 | 01:29 PM IST
NEW DELHI: Researchers at Indian Institute of Technology (IIT Madras) and Translational Health Science and Technology Institute (THSTI Faridabad) have developed the first India-specific artificial intelligence (AI) model to determine the age of a foetus in a pregnant woman in the second and third trimesters precisely. The model has been developed as part of the ‘Interdisciplinary group for advanced research on birth outcomes – DBT India initiative’ (GARBH-Ini) programme.
Accurate ‘gestational age’ (GA) is necessary for the appropriate care of pregnant women and for determining precise delivery dates. Called ‘Garbhini-GA2’, this is the first late-trimester GA estimation model to be developed and validated using Indian population data.
Benefits of GA model
- Currently, the age of a foetus (gestational age) is determined using a formula developed for western population
- They are likely to be erroneous when applied in the later part of pregnancy due to variations in the growth of the foetus in the Indian population
- The newly developed ‘Garbhini-GA2’ accurately estimates the age of a foetus for the Indian population, reducing error by almost three times.
- This GA model can improve the care delivered by obstetricians and neonatologists, thus reducing maternal and infant mortality rates in India.
Also read IIT Madras to host CFI open house, ‘IITM for All’ expo; register by February 29
Rajesh Gokhale, secretary, department of biotechnology (DBT), said, “GARBH-Ini is a flagship programme of DBT, and the development of these population-specific models for estimating gestational age is a commendable outcome. These models are being validated across the country.”
This research was undertaken by Himanshu Sinha, associate professor, Bhupat and Jyoti Mehta School of Biosciences, department of biotechnology, IIT Madras; Shinjini Bhatnagar, principal investigator of GARBH-Ini programme and a professor at THSTI and other researchers. The findings were published in the prestigious international peer-reviewed journal Lancet Regional Health Southeast Asia.
Follow us for the latest education news on colleges and universities, admission, courses, exams, research, education policies, study abroad and more..
To get in touch, write to us at news@careers360.com.
Next Story
]Featured News
]- PMKVY Scheme: 40% of 1.5 crore in skill training women; electronics, apparel top sectors
- NEHU in turmoil: How governance issues and lack of transparency in appointments sparked a campus-wide unrest
- Education ministry:1.65 crore non-literates register on ULLAS portal, less than half clear literacy test
- Over 5,000 teaching vacancies, 2,000 unfilled reserved posts in central universities: Education ministry
- Delay in NTA exam payments due to ‘late submission’ of bills, education ministry tells Lok Sabha
- Maharashtra NEET UG Counselling: MBBS aspirant moves HC against medical college for ‘overcharging’
- CLAT 2025 and beyond: What’s new in degree, diploma and certificate law courses
- Education ministry, World Bank report flags skills gap; BFSI, digital media ‘must be top priority for schools
- Study Abroad: New Zealand revises post-study work visa rules for international postgraduate students
- Maharashtra Election 2024: State’s job scheme stumbles; just 21% apprentice placements in private firms