How digital twins may enable personalised health treatment

Research into digital twins, using computational models duplicating physical processes, could personalize treatment, enhance medicine's efficacy, and prevent complications. This technology utilizes gene, cellular, protein data, and personal data to form patient-specific organ models, setting the stage for personalized medicine. It's used in cardiology; companies such as ELEM BioTech use virtual hearts for drug testing. Researchers are also creating digital twin tumors, pairing AI with genetic and molecular data to predict drug response. Exploration into digital replicas of pregnancies could lead to pharmaceutical advancements in pregnancy and labor. The technique can also optimize patient healthcare journeys in hospitals.

Opens on The Guardian