AI Aging Clocks Predict Disease Risk Using Medical Imaging of Seven Key Organs
Researchers developed imaging-based biological age clocks for seven organs that predict disease and mortality with 82% accuracy for dementia.
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Researchers developed imaging-based biological age clocks for seven organs that predict disease and mortality with 82% accuracy for dementia.
Large-scale study maps how different organs age at varying rates and identifies modifiable lifestyle factors that can slow organ decline.
New epigenetic clocks reveal breast cancer patients age faster in tumor tissue but slower in distant tissues like cervix.
New research reveals how the brain's master clock regulates muscle stem cell metabolism via feeding cycles, not local cellular clocks.
Comprehensive review reveals EDA2R receptor as both biomarker and active driver of aging processes, offering new therapeutic targets.
New research reveals how misaligned liver circadian rhythms cause diabetes and fatty liver disease, plus proven strategies to restore healthy timing.
Researchers developed 7 organ-specific aging clocks from MRI data, revealing molecular signatures of aging across brain, heart, liver, and other organs.
Researchers develop 2A model that tracks aging patterns across 16 organs, revealing lungs and kidneys age fastest while identifying promising drugs.
New research reveals how the liver's circadian clock regulates fat metabolism by communicating with adipose tissue through protein signals.
Dihydroartemisinin, derived from traditional Chinese medicine, may reverse liver scarring by restoring cellular fat storage.
New proteomic clocks track aging in 10 organ systems, predicting mortality and disease risk with unprecedented accuracy across diverse populations.
Meta-analysis reveals significant cognitive improvements in TBI patients after hyperbaric oxygen therapy sessions.