New insights achieved by the combination of bioinformatics and genomics data through machine learning could help the way doctors treat chronic diseases like lupus, according to a paper published in the journal Nature Scientific Reports. GW researchers, including Keith A. Crandall, Ph.D., director of the Computational Biology Institute at Milken Institute School of Public Health, worked with AMPEL BioSolutions, a genomics technology company, to train a computer to analyze genetic and patient data to predict whether an individual living with lupus was experiencing a flare in disease activity.
Machine Learning Could Help Treatment of Chronic Diseases, New Study Suggests
July 19, 2019