Med-AI-Safe

Screenshots

Problem Statement

roblem Statement Medical research requires handling sensitive patient data while maintaining privacy and compliance with healthcare regulations. Traditional systems expose private health information to multiple parties, creating privacy risks and potential HIPAA violations.Solution This platform uses Nillion's secure computation to process sensitive medical data while maintaining complete privacy. It enables multi-party computation where different stakeholders (patients, researchers, hospitals) can participate in clinical trials without exposing underlying patient data.

Solution

FeaturesSecure Trial Matching Age-based eligibility verification Symptom pattern matching Treatment duration assessment Privacy-preserving patient scoringMulti-Party Computation Patient data remains encrypted Researchers get aggregated insights Hospitals maintain oversight Zero knowledge of individual recordsPrivacy-Preserving Access Levels Patients: Trial eligibility and effectiveness scores Researchers: Aggregated trial matches and response scores Hospitals: Safety monitoring and trial oversight