Digital‑Twin Technology Emerges to Forecast Health Risks and Model Treatments

Researchers are deploying digital‑twin technology in the health sector. The approach creates a virtual replica of a patient’s physiology. These twins can forecast potential health risks before they manifest. Clinicians can also simulate how different treatments might affect outcomes. The technology draws on real‑time data from wearables and medical records. Early trials suggest improved decision‑making for personalized care. The Times of India reports that the method could reduce trial‑and‑error in therapy selection. Adoption is expected to expand as computational models become more refined.