OPP001 📄 Overview A SaMD platform that integrates longitudinal multi-source data (EHR, wearables, genomics, social determinants of health) to create a dynamic 'digital twin' for each individual. This twin continuously analyzes health trajectories, predicts future health risks (e.g., disease onset, exacerbations), and offers personalized, proactive digital interventions (e.g., adaptive digital therapeutics, lifestyle recommendations, preventative screenings). Key technologies: 👤 Target users: 👍 Benefits Early disease detection and prevention • Hyper-personalized health management plans • Reduced healthcare utilization and costs through proactive care • Improved patient engagement and self-efficacy • Enhanced clinical decision-making Use bullets or new lines. 👎 Challenges Data interoperability and standardization across disparate sources • Ensuring data privacy and security with vast data aggregation • Clinical validation of predictive accuracy and intervention efficacy • Mitigating algorithmic bias and ensuring equitable outcomes • Scalability and integration into existing healthcare workflows 📋 Regulatory & Validation Classification as SaMD (diagnosis, treatment decision support) • Requirements for robust clinical validation using RWE and prospective studies • Clear guidelines for AI model transparency and explainability • Strict adherence to data protection regulations (e.g., HIPAA, GDPR)