Researchers develop machine learning model to identify disease subtypes

Graphical abstract. Credit: Journal of Biomedical Informatics (2024). DOI: 10.1016/j.jbi.2024.104650 Researchers from the Hebrew University of Jerusalem have developed a machine learning approach to identify potential subtypes in diseases, significantly enhancing the field of disease classification and treatment strategies. The study, led by Ph.D. student Dan Ofer and Prof. Michal Linial from the Department of Biological Chemistry at The Life Science Institute at Hebrew University, marks a significant advancement in the use of artificial intelligence in medical research. The findings are published in the Journal of Biomedical Informatics. Distinguishing diseases Read More

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