Researchers Develop Machine Learning Model to Identify Disease Subtypes

Researchers from the Hebrew University of Jerusalem have developed a groundbreaking machine learning model to identify disease subtypes, leading to more precise treatment strategies. The study, published in the Journal of Biomedical Informatics, highlights the importance of distinguishing diseases into distinct subtypes for accurate study and effective treatment. The innovative approach identified 515 disease candidates with previously unannotated subtypes, showcasing the potential of machine learning in expanding our understanding of complex diseases.