A new AI tool is dramatically accelerating the search for the genetic causes of rare diseases, a process that often takes many years and can ultimately fail to produce results. The tool was developed under the leadership of Dr. Christina Canavatti and Prof. Yuval Tabach of the Faculty of Medicine, and was revealed in a study published in Genetics in Medicine, which analyzes how genes have evolved over time in a wide variety of species and reveals hidden clues about the genes responsible for patient symptoms. The study may significantly shorten the diagnostic process and help doctors offer effective treatments at an earlier stage.

Link to the article