2025
"Research is the distance between an idea and its realization."
- David Sarnoff
Innovative Technologies for Detecting Drug-Resistant Priority Pathogens in India to Improve Patient Outcomes
This project aims to develop and integrate innovative genomic and computational technologies to improve the detection, surveillance, and prediction of antimicrobial resistance, ultimately enabling better clinical decision-making and improved patient outcomes. Focus will be on building a customized, India-specific genomic AMR database that encapsulate the genetic diversity and resistance profiles of priority pathogens circulating within the country.
This resource will strengthen national AMR surveillance and will establish robust quality criteria for genomic sequencing, ensuring high standards of data accuracy, reproducibility, and clinical applicability across sequencing platforms and laboratories. It also focuses on to develop and optimize metagenomic sequencing protocols for comprehensive profiling of bacterial communities. These protocols will enable the identification of resistance determinants even in mixed or low-abundance infections, addressing key diagnostic gaps in current workflows. As final objective, the project will leverage machine learning and artificial intelligence approaches to develop predictive models reflecting antimicrobial resistance from genomic and metagenomic data. By integrating high-quality sequencing data with advanced computational methods, the project seeks to deliver scalable, data-driven tools for rapid resistance prediction.
