Development of process and system for pervasive sepsis care by intelligent detection and monitoring

Purpose and goal:

Sepsis, a potentially fatal condition causing approximately 11 million deaths annually, arises from the body’s inadequate response to an infection. There is an urgent need to improve the detection and treatment of sepsis. Here, we aim to use unique complementary expertise available in India and Sweden to develop novel biomarkers for detecting sepsis and utilize the most recent advancement in AI/ML/Deep Learning to implement personalized therapeutic intervention strategies for sepsis.

Expected results and effects:

The project is expected to add new diagnostic data layers using miRNA and populations-scale proteomics to improve early detection and to predict treatment responses in sepsis patients. With the advancement AI models and new clinical and molecular biomarkers, a new reliable sepsis scoring system for pervasive healthcare in sepsis will be developed.

Approach and implementation:

This proposal is designed to address the prevailing issues and challenges that are identified in Sweden and India. The project team will perform the following studies 1) enhance the diagnostic relevance of sepsis conditions using AI-enabled approaches, 2) extract new biomarkers and development of aptamer based biosensors for early detection of the onset of sepsis, and 3) design a new scoring system for pervasive and personalized sepsis care.