To prevent diseases from occurring in the first place, it is important to identify those individuals who are at particularly high risk as early as possible. Yet current screening methods are often costly and focus only on one disease at a time. Scientists from the Berlin Institute of Health at Charité (BIH), Charité – Universitätsmedizin Berlin, and University College London profiled 168 metabolic markers in the blood samples of over 100,000 people and combined this data with their medical histories. With the help of artificial intelligence, they were able to predict the risk of onset of several diseases with just one test and show where early intervention could be beneficial.