Rapid diagnostic platform for drug-resistant pathogens using microfluidics and AI
Detect sepsis-causing pathogens within minutes; Monitor antibiotic resistance in real-time; Identify drug-resistant bacteria in clinical samples; Enable rapid therapy decisions for sepsis patients; Screen for antimicrobial resistance in hospital settings
Backed by $104M ARPA-H DARTS grant; Developed at Harvard Medical School; Scientific foundation from Dr. Johan Paulsson's work on AMR; Partnerships with Harvard Medical School and ARPA-H; Focus on sepsis and antimicrobial resistance crisis with 80% mortality reduction potential