{"id":314922,"date":"2026-02-24T15:42:08","date_gmt":"2026-02-24T15:42:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/314922\/"},"modified":"2026-02-24T15:42:08","modified_gmt":"2026-02-24T15:42:08","slug":"digital-twins-in-health-care-promising-technology-still-years-away","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/314922\/","title":{"rendered":"Digital twins in health care: Promising technology still years away"},"content":{"rendered":"

Two decades ago, futurist Ray Kurzweil laid out a bold vision for next-generation medicine in his book \u201cThe Singularity Is Near.\u201d Technology, he predicted, could one day help doctors eradicate disease by anticipating and responding to it in real time.\u00a0<\/p>\n

Personalized health predictions have been an ambitious goal for health systems, insurers, drugmakers, and doctors for years: Virtual models, or \u201cdigital twins\u201d that forecast whether individual patients will respond to drugs or surgery, or estimate when someone\u2019s most likely to need a knee replacement. The appeal of the concept is driven by the promise of reduced medical costs, automated clinical trials, and fewer sick patients in beds.\u00a0<\/p>\n

Advances in artificial intelligence and the availability of new data on genomics, patient outcomes, and drug performance have pushed the idea of \u201cdigital twins\u201d closer to\u00a0reality than ever before. Today, some early-adopter health systems and enterprising tech companies are putting parts of the idea into practice.\u00a0<\/p>\n

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