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European Researchers Unveil Delphi-2M AI Tool Predicting Risk of Over 1,000 Diseases Up to 20 Years Ahead

NextFin news, European researchers announced on Sunday, September 21, 2025, the development of Delphi-2M, an advanced artificial intelligence tool capable of predicting an individual's risk of developing more than 1,000 diseases up to 20 years in advance. The AI system analyzes medical records and lifestyle information to generate comprehensive long-term health risk assessments.

Delphi-2M was developed at the European Molecular Biology Laboratory (EMBL) in Cambridge and utilizes a generative AI architecture similar to large language models but tailored for healthcare applications. It was trained on anonymized data from approximately 400,000 participants in the UK Biobank and validated using 1.9 million patient records from Denmark's National Patient Registry.

The tool assesses risks for 1,258 diseases, including cancer, diabetes, cardiovascular diseases, skin conditions, and immune disorders. It incorporates factors such as age, sex, body mass index, smoking habits, alcohol consumption, and other lifestyle indicators to estimate disease probabilities.

In clinical tests, Delphi-2M demonstrated prediction accuracy comparable to or exceeding that of existing specialized models for individual diseases. Notably, the AI maintained robust performance across different datasets, indicating its potential for broad applicability in diverse populations.

Researchers highlighted that Delphi-2M offers a single, comprehensive health risk report, unlike traditional calculators that focus on specific conditions. This capability could enable earlier identification of high-risk patients, facilitating preventive interventions and potentially improving health outcomes.

While promising, the AI tool is not yet ready for routine clinical use. The research team plans to enhance the model by integrating genetic and protein data and conducting further clinical trials to validate its effectiveness across varied demographics.

Experts also emphasize the importance of addressing data privacy and ethical considerations given the sensitive nature of health information involved in such large-scale AI applications.

The development of Delphi-2M represents a significant advancement in preventive medicine and personalized healthcare, with potential implications for reducing healthcare costs and improving disease management worldwide.

Sources: The Star (https://www.thestar.com.my/tech/tech-news/2025/09/21/new-ai-tool-can-estimate-the-risk-of-more-than-1000-diseases039), Türkiye Today (https://www.turkiyetoday.com/lifestyle/delphi-2m-revolutionary-ai-model-that-can-predict-over-a-1500-diseases-3207175), MENAFN (https://menafn.com/1110089166/AI-Tool-Projects-Risks-of-Over-1000-Diseases-Up-to-Two-Decades-Ahead)

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