GenomeIndia is an ambitious national initiative launched in January 2020, funded by India's Department of Biotechnology. The project aims to sequence 10,000 genomes from healthy individuals across the country. GenomeIndia's main objective is to compile a comprehensive catalogue of the genetic variations unique to India's diverse population. This initiative goes beyond merely decoding genes; it seeks to create a detailed reference of the genetic makeup to enhance our understanding of this diversity.
Health
Researchers at IIT Bombay develop a shockwave-based needle-free syringe that ensures painless and safe drug delivery with lesser damage to skin and lower risk of infection
BharatSim uses Agent-based modelling to simulate the Indian population dynamics, which can help study various aspects of life, including how diseases spread.
The device uses a protein based biosensor to detect harmful pollutants like phenol and benzene from water samples
As a teenager, it is hard enough dealing with the emotional challenges of growing; add to it the stigma of living with HIV. Then there are researchers who aim to improve the mental health of these teenagers without ever involving them in the process! This leads to a disconnect between lived experience and research outcomes. It is a little-recognized barrier to effective mental health interventions for marginalised communities.
IIT Bombay’s microfluidic device that rapidly measures stiffness of human cells can help investigate relation between stiffness and disease condition
Researchers from IIT Bombay study heavy polluters on the Mumbai-Pune Expressway and suggest the need for stringent policies to restrict vehicular pollution.
A much needed analytical study for a more sustainable waste disposal in the healthcare sector in India
IIT Bombay researchers identify biomarkers that could tell apart less and more aggressive meningioma
A set of proteins have been identified from tumour and blood samples for the diagnosis and prognosis of meningiomas that could predict meningioma severity.
New study uses mathematical analysis of walking patterns for early detection of Parkinson’s disorder.