Scientists Compare Methods to Measure Your True Biological Age
Systematic review of 56 studies reveals which biological age tests work best and identifies gaps in current approaches.
20 Artikel
Systematic review of 56 studies reveals which biological age tests work best and identifies gaps in current approaches.
Revolutionary methylation test reveals how different organs age at varying rates, enabling personalized longevity interventions.
New aging clocks use molecular markers to predict disease risk and healthspan more accurately than calendar age alone.
Scientists developed a highly accurate epigenetic clock that measures biological aging through DNA methylation patterns in blood samples.
Scientists developed aging predictors using proteins and metabolites from blood, urine, and muscle to identify accelerated aging patterns.
Scientists developed PhysAge, a DNA methylation test that outperforms standard blood tests in predicting aging and death risk.
New neural networks accurately estimate biological age within 6 years using blood markers or gut bacteria composition.
Epigenetic clocks in blood samples accurately predict Alzheimer's biomarkers in Hispanic adults, offering early detection potential.
New study shows biological aging clocks in blood can predict Alzheimer's disease risk and track brain health decline.
Scientists developed OMICmAge, a biological age test that integrates multiple data types to predict chronic disease risk and mortality better than existing biomarkers.
Forscher haben MoveIt! Age entwickelt – eine auf Wearables basierende biologische Altersuhr, die ausschließlich tägliche Schrittzahlen nutzt und Bluttests bei der Vorhersage von Gebrechlichkeit und Mortalität übertrifft.
Ein neuer Gompertz-basierter Algorithmus wandelt standardmäßige klinische Biomarker in eine Schätzung des biologischen Alters um, die Mortalität, Gebrechlichkeit und das Risiko chronischer Erkrankungen vorhersagt.
Large language models outperformed telomere length and epigenetic clocks in predicting aging and mortality risk across 10+ million people.
Study of 2,366 women shows epigenetic aging markers can forecast brain pathology progression decades before symptoms appear.
Eine neue Übersichtsarbeit zeigt, wie Deep Learning die Schätzung des biologischen Alters in den Bereichen Epigenetik, Metabolomik, Darmmikrobiom und Bilddaten revolutioniert.
Study of 1,014 adults finds GrimAge epigenetic clock most accurately links biological aging to physical performance from age 20-104.
Researchers developed a biomarker-based method to measure aging speed that outperforms chronological age in predicting disease, disability, and death.
Epigenetic clocks using DNA methylation patterns can accurately predict disease risk, mortality, and age-related decline.
Eine Studie mit 44.498 Teilnehmern zeigt, dass das biologische Alter von Gehirn und Immunsystem – gemessen anhand von Blutproteinen – das Alzheimer-Risiko und die Lebenserwartung besser vorhersagt als Genetik allein.
Study of 6,681 adults reveals phenotypic age captures thyroid dysfunction risk more accurately than calendar age alone.