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Paris, France— Artificial intelligence is no longer confined to machines and robotics. European researchers say they have developed a new model: “Delphi-2M”, that can predict a person’s risk of developing diseases not just months in advance, but 10 to 20 years before symptoms appear.
A Digital Oracle for Health
The tool, called Delphi-2M, analyzes a person’s medical history, lifestyle choices, habits and health records to generate a “risk map” of potential illnesses. Experts believe it could help detect early warning signs of chronic conditions such as diabetes, cardiovascular disease and even certain cancers.
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“This model offers people a chance to change their lifestyles and begin treatment before the disease takes hold,” said Dr. Élodie Martinez, a scientist in France. “It could be nothing short of revolutionary for public health.”
Beyond Traditional Prediction
Most AI health models today are limited to short-term forecasts. Delphi-2M is different: it is capable of analyzing long-term patterns across 1,258 diseases.
In trials, the system showed it could calculate risk levels by evaluating indicators such as body mass index, smoking habits, blood pressure and family history.
Perhaps its most striking feature is that it produces a single, comprehensive report mapping an individual’s health risks over decades. The current model draws on more than 400,000 medical data entries, with researchers planning to expand its database further.
What It Could Mean for Countries Like India
In nations such as India, where diabetes and heart disease are rising sharply, experts say the technology could reshape health policy.
“If such a tool becomes widely available, doctors will be able to advise patients on prevention much earlier,” said Dr. Vivek Gupta, a health analyst in New Delhi. “Hospitals would see reduced pressure, and healthcare costs could decline.”
Unanswered Questions
Still, scientists caution that Delphi-2M is not yet ready for mainstream use. It must undergo broader clinical trials and be tested across diverse populations. Equally pressing are questions of data privacy and ethics: how can sensitive health information on such a vast scale be kept secure?
The technology offers hope, no doubt. But the larger question remains:
Will artificial intelligence simply warn us of diseases to come — or can it truly show us how to fight them?
