SUMMARY

• – AI-Driven Framework for Discovery of Multi-Expert Personalized Biomedical Models & Indicators
• – High-Capacity Engine for Multi-Factor Simulation and Multi-Objective Optimization of Treatment, Wellness & Rehabilitation Strategies
• – 24/7 Automated Personalization, Monitoring & Decision Support
• – Optimal Combination of All Available Biomedical Resources, Novel Research Results & Personal Data to Solve Your Current Problems
• – Clear Explanation & Interpretation of the Discovered Personalized Treatment and Wellness Strategies
• – Early Detection of the Emerging Medical Abnormalities, Health-Critical & Acute Events, Overtraining and Psychological Conditions
• – Predictive Indications of Personalized Zones of Optimal Performance in Sport and Other Competitive Fields

SYSTEM OUTLINE AND WORKFLOW

SELECTED APPLICATIONS

• – Early Detection of Emerging Abnormalities or Overtraining from Wearable-Device Data
• – Early Detection of Treatment Effects for Personalization of Treatment Strategy and Regimen
• – Predictive Personalization by Matching Current Biomedical State to Existing Cases
• – Predictive Alerts for Rare & Hard-to-Quantify Best-Performance or Critical States
• – Discovery of Optimal Regimen from the Long History of Personal Data
• – Discovery of Personalized Health-Critical Geo-Magnetic / Weather Events and Predictive Alerts
• – Quantitative Description and Monitoring of Individual Zones of Optimal Functioning (IZOF) v
• – Monitoring and early detection of emerging life-threatening abnormalities
• – Integrated Decision Support Solutions for Athletes and Coaches
• – Early Diagnostics and Monitoring of Emerging Neurological, Psychological, Psychotic, and Developmental Abnormalities from Wearable-Device (ECG and gait) and Multi-Modal Clinical Data
• – Discovery of Optimal Personalized Protocols in Neurofeedback and Other Alternative Therapies
• – Discovery of Optimal Nutraceutical or Drug Combinations
• – Engine for forward simulation and multi-objective discovery of optimal wellness strategies:
• – Uses all available data to quantify current psycho-physiological personal state
• – Using analytical and deep generative models, creates multi-horizon scenario paths incorporating potential environment and weather effects, probability of genomic mutations, probability of developing different abnormalities given current state and other factors.
• – Using simulation results, multi-objective optimization engine discovers complementary sets of optimal wellness-maintenance strategies