IIT Madras and THSTI Faridabad Jointly Develop AI Gestation Age Estimation Model; Check Details Here

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The ‘Garbhini-GA2’ accurately estimates the age of a foetus for the Indian population, reducing the error by almost three times.

IIT Madras and THSTI Faridabad Jointly Develop AI Gestation Age Estimation Model

New Delhi: Researchers at Indian Institute of Technology Madras (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 named ‘Garbhini-GA2’ and has been developed as part of the ‘Interdisciplinary group for advanced research on birth outcomes – DBT India initiative’ (GARBH-Ini) programme.

The ‘Garbhini-GA2’ accurately estimates the age of a foetus for the Indian population, reducing the 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.

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The research was undertaken by Dr Himanshu Sinha, associate professor at Bhupat and Jyoti Mehta School of Biosciences, department of biotechnology at IIT Madras, Dr Shinjini Bhatnagar, the principal investigator of GARBH-Ini programme and a distinguished professor at Translational Health Science and Technology Institute (THSTI). The findings were published in the prestigious international peer-reviewed journal Lancet Regional Health Southeast Asia.

“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,” said Dr Rajesh Gokhale, Secretary, Department of Biotechnology (DBT), Government of India.

“IIT Madras has been contributing towards solving healthcare problems at the grassroots and local level with the aim of enhancing public health in India. To this end, working with our clinical partner, THSTI, we are utilising advanced data science and AI/ML techniques to build tools to predict unfavourable birth outcomes. The first step towards this is to develop accurate GA models that perform significantly better than currently used models designed using Western populations,” said Dr Himanshu Sinha, who is also a Coordinator at the Center for Integrative Biology and Systems Medicine, IIT Madras, and who led the data science work for this research.

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