Insilico Medicine developed AI-generated digital twins of patients that simulate aging processes, predicting disease risks (e.g., Alzheimer’s) with 85% accuracy 10+ years in advance.
Technical Insight:
- Trained on multi-omics data (genomics, proteomics) from 100,000+ individuals in the UK Biobank.
- The model identifies biomarkers like telomere attrition rates and chronic inflammation patterns.
Applications:
- Preventive Medicine: Personalized lifestyle interventions (diet, exercise).
- Drug Development: Testing anti-aging compounds in silico before clinical trials.
Ethical Concerns: Insurance companies could misuse predictions to deny coverage.