Artificial intelligence, machine learning and omic data integration in osteoarthritis

ML techniques are advancing OA research by enabling nuanced analysis of complex omic datasets. Addressing current limitations and embracing new developments in spatial and single-cell omics, generative models, and federated learning will be essential to unlock the full potential of multi-omic integration for personalized OA diagnosis and treatment.