Development of a multiplexed aptamer-based diagnosis kit for early detection of SEPSIS using smart biosensing
Principal Investigator
Prof. Swathi Sudhakar
Objective
- To understand the complexities and requirements associated with the detection and management of sepsis specific to both India and Australia., To develop multiplexed aptamer based sensor by identifying novel biomarkers for the detection of sepsis., To utilize the most recent advancement in AI/ML/Deep Learning to develop reliable model to predict onset and progression of sepsis., To study prediction of sepsis sub types for effective personalized therapeutic interventions with an aim to reduce potential morbidity.
Description
- Sepsis, a potentially fatal condition causing approximately 11 million deaths annually, arises from the body's inadequate response to infection., This proposal envisages utilizing Australia's and India's complementary expertise to generate solutions for personalized and pervasive sepsis care for both countries., Towards this, intelligent detection and classification using appropriate artificial intelligence schemes, extraction of new biomarkers, and a device for detection and real monitoring sepsis would be developed. In addition, a new model based sensitive sepsis scaling process would be developed, tested, and validated.
Impact
- A new integrated system for diagnosis of sepsis in early stage., Proposal of new standards for detection and classification of sepsis conditions for smart management of sepsis with relevance to India and Australia., Joint PhD students and collaboration focussing on bigger fundings.