Thomas Nichols
@nichols.bsky.social
Professor of Neuroimaging Statistics
Oxford Big Data Institute
Nuffield Department of Population Health
University of Oxford
Oxford Big Data Institute
Nuffield Department of Population Health
University of Oxford
Well known diagnostic labels (RRMS, SPMS, PPMS) do not explain these states, showing their limitations. This is an important contribution to developing more fully data-driven perspectives on MS disease heterogeneity.
August 20, 2025 at 12:15 PM
Well known diagnostic labels (RRMS, SPMS, PPMS) do not explain these states, showing their limitations. This is an important contribution to developing more fully data-driven perspectives on MS disease heterogeneity.
Epic work led by Habib Ganjgahi is out in Nature Medicine... data-driven clustering of MS finds 3 distinct states, early/mild, active, advanced, w/ transition to the advanced state only occuring through the active state... replicated twice!
doi.org/10.1038/s415...
doi.org/10.1038/s415...
August 20, 2025 at 12:15 PM
Epic work led by Habib Ganjgahi is out in Nature Medicine... data-driven clustering of MS finds 3 distinct states, early/mild, active, advanced, w/ transition to the advanced state only occuring through the active state... replicated twice!
doi.org/10.1038/s415...
doi.org/10.1038/s415...