AI Model Predicts Future Health Risks for Over 1,000 Diseases
14 Sources
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Which diseases will you have in 20 years? This AI makes accurate predictions
A new artificial intelligence (AI) tool can forecast a person's risk of developing more than 1,000 diseases, in some cases providing a prediction decades in advance. The model, called Delphi-2M, uses health records and lifestyle factors to estimate the likelihood a person will develop diseases
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New AI Tool Predicts Which of 1,000 Diseases Someone May Develop in 20 Years
I agree my information will be processed in accordance with the Scientific American and Springer Nature Limited Privacy Policy. A new artificial intelligence (AI) tool can forecast a person's risk of developing more than 1,000 diseases, in some cases providing a prediction decades in advance. The
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New AI model predicts susceptibility to over 1,000 diseases
European scientists have developed a new artificial intelligence model, trained on large-scale health records, which can predict susceptibility to more than 1,000 diseases decades into the future. The generative AI system called Delphi-2M was built at the European Molecular Biology Laboratory in
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AI model maps lifetime disease risks to transform future healthcare planning
By Priyanjana Pramanik, MSc.Reviewed by Susha Cheriyedath, M.Sc.Sep 18 2025 A powerful new AI predicts how over 1,000 diseases may unfold across a person's life, opening doors for precision prevention, policy planning, and bias-aware healthcare innovation. Study: Learning the natural history of
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AI can forecast your future health - just like the weather
The model is best at predicting diseases like type 2 diabetes, heart attacks and sepsis that have a clear disease progression, rather than more random events like infections. People are already offered a cholesterol-lowering statin based on a calculation of their risk of a heart attack or
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AI model forecasts disease risk decades in advance
Researchers have developed a generative AI model that uses large-scale health records to estimate how human health may change over time. It can forecast the risk and timing of over 1,000 diseases and predict health outcomes over a decade in advance. This new generative AI model was custom-built
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This new AI tool can predict your risk of 1,000+ diseases -- meet Delphi-2M
A group of researchers has unveiled an AI model that can predict a person's likelihood of developing more than 1,000 diseases, and the AI even estimates when those illnesses might strike. Described this week in Nature, the AI is code named Delphi-2M and the tool was trained on anonymized health
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New AI tool can predict a person's risk of more than 1,000 diseases, say experts
Delphi-2M uses diagnoses, 'medical events' and lifestyle factors to create forecasts for next decade and beyond Scientists have developed a new artificial intelligence tool that can predict your personal risk of more than 1,000 diseases, and forecast changes in health a decade in advance. The
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Scientists train AI model to predict future illnesses
Scientists said Wednesday that they had created an AI model able to predict medical diagnoses years in advance, building on the same technology behind consumer chatbots like ChatGPT. Based on a patient's case history, the Delphi-2M AI "predicts the rates of more than 1,000 diseases" years into the
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New AI System Predicts Risk of 1,000 Diseases Years in Advance - Decrypt
Researchers have built an AI system that predicts your risk of developing more than 1,000 diseases up to 20 years before symptoms appear, according to a study published in Nature this week. The model, called Delphi-2M, achieved 76% accuracy for near-term health predictions and maintained 70%
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New AI tool can predict risk of more than 1,000 medical conditions
The model can accurately predict conditions such as diabetes and cancer, and is less reliable for issues such as infectious diseases and mental health disorders. Scientists say they have created a new artificial intelligence (AI) tool that can predict people's risk of developing more than 1,000
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Researchers detail Delphi-2M, an AI model capable of predicting over 1,000 diseases - SiliconANGLE
Researchers detail Delphi-2M, an AI model capable of predicting over 1,000 diseases Researchers in Europe unveiled a new artificial intelligence model Wednesday that can forecast a person's risk of developing over 1,000 diseases more than a decade in advance. The generative AI tool, called
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New AI model could predict risk of disease a decade before symptoms
A new AI model could predict a patient's risk of more than 1,000 diseases a decade before they actually develop symptoms, according to new results. The scientists who created the tool hope it could be ready for GPs and other doctors to use within 5 to 10 years, giving patients an early warning
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Delphi-2M AI predicts 1000+ diseases using over 400k medical records
The model uses a large-scale medical dataset to forecast the likelihood of more than 1,000 conditions simultaneously. Researchers at the German Cancer Research Center have developed an artificial intelligence model, Delphi-2M, that can predict an individual's risk for more than 1,000 diseases up
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Researchers have developed an AI tool called Delphi-2M that can forecast a person's risk of developing more than 1,000 diseases up to 20 years in advance. The model uses health records and lifestyle factors to estimate disease likelihood, potentially revolutionizing preventive healthcare.
Breakthrough in AI-Powered Health Prediction
Researchers have developed a groundbreaking artificial intelligence (AI) tool called Delphi-2M that can forecast a person's risk of developing more than 1,000 diseases up to 20 years in advance
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. This innovative model, described in a study published in Nature, uses health records and lifestyle factors to estimate the likelihood of a person developing various conditions, including cancer, skin diseases, and immune disorders1
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Source: News-Medical
The Technology Behind Delphi-2M
Delphi-2M is based on a modified version of a large language model (LLM) called a generative pre-trained transformer (GPT), similar to those used in AI chatbots like ChatGPT
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. The model was trained on data from 400,000 participants in the UK Biobank, a long-term biomedical monitoring study2
.The AI tool incorporates various factors in its predictions, including:
- Past medical history
- Age
- Sex
- Body mass index (BMI)
- Health-related habits (e.g., tobacco use and alcohol consumption)
Source: FT
Performance and Accuracy
For most diseases, Delphi-2M's predictions matched or exceeded the accuracy of current models that estimate the risk of developing a single illness
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. The tool performed particularly well when forecasting conditions with predictable progression patterns, such as certain types of cancer2
.To test its generalizability, researchers applied Delphi-2M to health data from 1.9 million people in the Danish National Patient Registry
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. The model's predictions for the Danish population were only slightly less accurate than for the UK Biobank participants, demonstrating its potential for use across different national health systems2
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Source: BBC
Potential Applications and Impact
The multi-disease modeling capabilities of Delphi-2M could revolutionize preventive healthcare and resource planning
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. Some potential applications include:- Identifying high-risk individuals for early intervention
- Guiding personalized preventive measures
- Informing disease-screening programs
- Forecasting collective healthcare needs at a population level
- Anticipating future demand for specific treatments and resources
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Limitations and Future Development
While promising, Delphi-2M has some limitations. For instance, it only captured participants' first encounter with a disease in the UK Biobank data, which may affect the modeling of personal health trajectories
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. Additionally, the model is less effective at predicting diseases with unpredictable external causes and very rare congenital conditions3
.Researchers are now working to extend Delphi-2M by incorporating biological data about individuals' genes and proteins
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. They also plan to evaluate the model's accuracy on datasets from several countries to expand its scope2
.Ethical Considerations and Future Outlook
As Delphi-2M moves closer to potential clinical use, ethical considerations and responsible implementation will be crucial
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. The model's developers emphasize the importance of using this technology to enhance personalized care and anticipate healthcare needs at scale, while also ensuring patient privacy and data protection3
.With further development and validation, Delphi-2M could transform healthcare planning and delivery, ushering in a new era of precision medicine and proactive health management
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