Three predictive algorithms can forecast the risk of heart failure even in people who have never experienced a problem. This is the result of an international study conducted by Human Technopole, Milan's new Life Sciences research institute, and published in the European Heart Journal. The algorithms classify patients into three categories: healthy, those who have had a previous heart attack or stroke, and those who have advanced heart failure. The objective is to promptly identify individuals who are most susceptible and to implement targeted treatments at an earlier stage. The problem is urgent: over 60 million individuals worldwide suffer from heart failure; in Italy, the figure is over 800,000, with an additional 80,000 instances diagnosed each year. The increase is mostly due to the aging population, diabetes, obesity, and improved survival rates following cardiovascular events. Among the project coordinators, Italian Emanuele Di Angelantonio underlines "the key role of data in improving prevention and treatment". The models are part of a larger research program on cardiovascular and metabolic disorders, which aims to investigate their genetic, environmental, and lifestyle factors.