While AI could be the game changer in predicting health outcomes it should not be the only method
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
With the advent of artificial intelligence (AI), predictive medicine is becoming an important part of healthcare, especially in cancer treatment. Predictive medicine uses algorithms and data to help doctors understand how a cancer might continue to grow or react to specific drugs—making it easier to target precision treatment for individual patients. Now, researchers at the Institute for Genome Sciences at the University of Maryland School of Medicine set a foundation in two commentaries out this week for going beyond AI to find the best treatments for patients, as well as ethically data sharing to promote reproducible science.
The researcher Markel Perez has analysed the most frequent situations faced by football goalkeepers. The aim is to compile data to facilitate the design of more effective training. The work stresses the importance of practising the deflections and first touch shots that are produced. The study, carried out together with the Eibar football club, is innovative in the academic field.