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Digital AI twin. July 16 2025. Photo: (Photo used under section 27A of the copyright law).
Scientists from Israel’s Weizmann Institute of Science are creating AI “digital twins” in order to predict diseases before external symptoms are detected, according to a new study published in Nature Medicine.
“The project aims to pioneer a new era of predictive medicine through a comprehensive AI model trained on the entire dataset of each participant,” Ynet News reported.
The AI model is meant to build “an integrated health profile capable of forecasting likely medical events years in advance.”
The study presents “a multi-modal foundation AI model, trained using self-supervised learning on diet and continuous-glucose-monitoring data, that outperforms existing methods in predicting disease onset. This framework can be extended to integrate other modalities and act as a personalized digital twin.”
“This has huge implications – from simulating the effect of a drug before prescribing it to modeling the impact of lifestyle changes,” said one of the Human Phenotype Project’s leaders, Dr. Sandra Shilo.
“That’s the vision: to tailor medical decisions to the individual based on their digital twin.”
The Human Phenotype Project, which was founded in 2018, aims to annually collect health data from over 100,000 participants around the world.
The project is described on its website “as a landmark effort to empower researchers to make the next breakthroughs in human health.”
Professor Eran Segal, who launched the project, said the new “digital twin” application of the collected data is indicative of the seismic shifts taking place in healthcare due to developments in artificial intelligence.
“The worlds of medicine and health are on the brink of becoming AI-driven, and our project may serve as a global engine for innovation,” Segal said according the Ynet News report.
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