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AI Tool Predicts disease Risk Years in Advance
By Amelia hernandez | LONDON – 2025/09/19 09:43:59
The use of artificial intelligence in medicine is rapidly expanding. A study published September 17 in Nature details the creation of a generative AI by European researchers that could revolutionize the medical field. This AI, named Delphi-2M, can detect the risk of developing certain diseases, predicting their onset more than a decade before diagnosis.
Researchers from the European molecular biology laboratory, the German Center for Research on Cancer, and the University of Copenhagen developed Delphi-2M using data from two distinct healthcare systems. It’s creators believe it is a compelling demonstration of AI’s potential in medicine, particularly in modeling the advancement of human diseases.
Large-Scale Predictive Capabilities
Delphi-2M has the potential to detect the risk of over 1,000 diseases, including cancer and diabetes, once it becomes widely available to medical professionals and patients. However,its reliability decreases for diseases with more random development patterns,such as infections or mental health disorders. The tool primarily assesses the likelihood of a person developing heart or respiratory diseases, cancer, or diabetes.
According to The Guardian, a “prediction” from Delphi-2M indicates a risk that patients can proactively address, not a guaranteed outcome.Delphi-2M was trained and tested using data from over 400,000 anonymous patients in the UK BioBank study and 1.9 million patients in the danish national patient register. AFP, as cited by TF1, reports that the AI will undergo further testing before broader use. according to Ewan Birney, acting executive director of the European molecular biology laboratory, patients could benefit from this tool within the next few years.
“A prediction will therefore not mean a certain development of any pathology, only a risk that the patient can thus prevent.”
Artificial intelligence (AI) is transforming numerous sectors, including healthcare. AI enables computers and machines to mimic human cognitive functions such as learning, problem-solving, and decision-making [2]. Generative AI, like Delphi-2M, can create new data, offering unprecedented opportunities for disease prediction and prevention.
AI in Medicine: Key developments
- Early 2000s: AI begins to be used for image analysis in radiology.
- 2010s: Machine learning algorithms improve diagnostic accuracy.
- 2020s: Generative AI models emerge, capable of predicting disease risk.
The global AI in healthcare market is projected to reach $95.7 billion by 2028, growing at a CAGR of 41.1% from 2021 [(1)].
- 1,000+: The number of pathologies Delphi-2M can potentially detect.
- 10+ years: The amount of time before diagnosis that Delphi-2M can predict disease risk.
- 400,000+: The number of patients in the UK BioBank study used to train and test Delphi-2M.
- $95.7 billion: projected value of the global AI in healthcare market by 2028.
