April 19, 2024 - Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study published recently in Nature Biotechnology. GRNs “map the complex interactions between genes, regulatory elements and proteins, holding the key to...

April 16, 2024 - Researchers from the University of Pittsburgh Medical Center (UPMC) have developed a predictive model to forecast metastatic uveal melanoma patients’ response to adoptive therapy, according to a study published today in Nature Communications. The research team indicated that uveal melanoma is resistant to conventional immunotherapies, but...

April 15, 2024 - Researchers from the Massachusetts Institute of Technology (MIT), Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed a machine learning approach to help capture the uncertainty present in medical image segmentation, which could improve clinical decision-making. Medical image segmentation is a critical aspect of...

April 15, 2024 - Columbia University researchers have developed a machine learning-based approach to assess cardiac function and drug response, according to a study published recently in IEEE Open Journal of Engineering in Medicine and Biology. The research team indicated that understanding heart function and testing new drugs to treat cardiac diseases is both...