Build 'Oxyscan AI'—a $50K/year SaaS + hardware platform combining microfluidic chips, edge AI, and cloud analytics to enable point-of-care oxidative stress testing. The platform would: 1) Deploy disposable microfluidic chips with embedded sensors to detect ROS (reactive oxygen species) in real-time (e.g., 'Sample #XYZ: 85% oxidative stress—flag for drug trial'); 2) Provide a 'Biomarker Dashboard' showing drug response curves (e.g., 'Drug A reduces oxidative stress by 60% in 2 hours'); 3) Integrate with ELN/LIMS systems (e.g., Benchling) to auto-populate research data; 4) Offer a 'Trial Optimization Score' showing cost savings (e.g., 'Switching to Oxyscan could save $1.5M/year per trial').

Biopharma companies, CROs, and academic labs