MRI-based biological age gaps

1. MRI-based biological age gaps are associated with cognitive decline trajectories in humans.

   “capturing differential and heterogeneous cognitive decline trajectories over 240 weeks of treatment with the Alzheimer's disease drug (Solanezumab)”

   Humansduring solanezumab treatment240 weeks

   Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics

   medRxiv : the preprint server for health sciences·11 Jul 2025Preprint

1. MRI-based biological age gaps predict mortality in humans.

   “we demonstrate the clinical relevance of the 7 MRIBAGs in predicting disease endpoints (e.g., diabetes mellitus), all-cause mortality”

   Humans

   Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics

   medRxiv : the preprint server for health sciences·11 Jul 2025Preprint

1. 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 sciences·11 Jul 2025Preprint

More on Disease endpoints

1. MRI-based biological age gaps are associated with common genetic variants in humans (53 MRIBAG-locus pairs).

   “Genome-wide associations identify 53 MRIBAG-locus pairs (P<5×10−8).”

   Humans

   Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics

   medRxiv : the preprint server for health sciences·11 Jul 2025Preprint