Machine learning and multi-omics in precision medicine for ME/CFS.
Huang, Katherine, Lidbury, Brett A, Thomas, Natalie et al.·Journal of translational medicine·2025
This review examines how advanced computer analysis and detailed biological testing could help doctors better understand and treat ME/CFS. Because ME/CFS affects people differently, researchers are exploring ways to look at each patient's unique genetic and molecular makeup to find personalized treatments. The study discusses how combining multiple types of biological data—genes, proteins, and metabolites—along with artificial intelligence could help identify specific patterns that distinguish ME/CFS patients and guide their care.