Clinical Virtual Twins: Methodology and Scientific Foundations
A comprehensive overview of BioTwin's virtual twin methodology — how multi-omics data, machine learning, and longitudinal tracking combine to create individualized health models.
Insights & Research
White papers, scientific methodology, research updates, and technology insights from the team building the most advanced clinical virtual twin platform.
Why Metabolomics Is the Missing Layer in Preventive Medicine
How metabolomic profiling captures real-time biological state — and why it's essential for meaningful health prediction beyond genomics alone.
The Case for Longitudinal Health Data: Why Single Snapshots Are Not Enough
How tracking biomarkers over time reveals health trajectories invisible to single-point assessments, and what this means for preventive care programs.