1 paper1 finding
MRI-based biological age gaps
mixedin humans1
MRI-based biological age gaps predict disease endpoints in humans.
“we demonstrate the clinical relevance of the 7 MRIBAGs in predicting disease endpoints (e.g., diabetes mellitus), all-cause mortality”
Humansincluding diabetes mellitus
Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics
medRxiv : the preprint server for health sciences11 Jul 2025Preprint
In predicting disease onset from biomedical measurements, the model beat the second-best system by over 10 percentage points across 1,162 tasks.In predicting disease onset from biomedical measurements, the model beat the second-best system by over 10 percentage points across 1,162 tasks.
In 54,933 healthcare system participants, profiling 250 NMR biomarkers enhanced standard risk prediction for type 2 diabetes, kidney disease, and liver disease.In 54,933 healthcare system participants, profiling 250 NMR biomarkers enhanced standard risk prediction for type 2 diabetes, kidney disease, and liver disease.