AI and ML models applied to aging biology and prediction
Chronological age incompletely captures heterogeneity in biological aging. In this prospective study of 45,819 UK Biobank participants, we developed a multimodal ocular aging index (MOAI) by integrating ophthalmic phenotypes with plasma proteomic and metabolomic profiles …
Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predisposes to hematological diseases. Here, we constructed a comprehensive single-cell transcriptomic atlas comprising 186,123 CD34+ HSPCs spanning early prenatal development (6 post-conception weeks) …
Researchers created a miniature laboratory system using human stem cells that reproduces aging hallmarks in just 4 days—a process that normally takes decades. This 'aging-on-a-chip' could accelerate testing of anti-aging therapies and reveal how rejuvenation …
Researchers created an AI-powered blood biomarker (SASP Score) that measures senescent cell burden and successfully predicted mortality, dementia, heart attacks, and stroke in large population studies. The score also changed in response to exercise intervention, …
Researchers used AI to estimate cardiovascular 'biological age' from simple heart ultrasounds in 243 adults. People whose heart appeared older than their calendar age had worse metabolic health markers and were twice as likely to …
The 12th Aging Research and Drug Discovery conference brought together leading scientists to discuss a major shift in how we study aging—moving away from simply describing what goes wrong toward understanding the mechanisms we can …
This review examines ginsenosides—compounds from ginseng—and their potential anti-aging effects through mechanisms like reducing cellular stress and supporting mitochondrial health. While promising in laboratory studies, the authors emphasize that moving from bench science to functional …
Researchers used artificial intelligence to analyze 70,000 MRI scans and found that medical imaging can detect which organs are aging faster than normal—and these patterns correlate with diseases like MS and COPD, plus lifestyle factors …
Researchers applied a quinoa-based product to women's skin and used machine learning to analyze protein changes, finding that treated skin showed molecular signatures resembling younger skin—with predicted age reductions of 11–16 years depending on age …
Researchers created LongevityBench, a standardized test to evaluate whether large language models (LLMs) can accurately interpret aging biology and predict age-related outcomes from biodata. The benchmark spans human lifespan prediction, genetic effects, and multiple data …
Researchers developed a new measurement called DISCO that quantifies how disorganized biological systems become with age, using data from multiple large cohorts. They found that this 'entropy' spreads across organ systems rather than occurring in …
Researchers mapped how genes control aging in yeast by identifying "master regulators"—key genes that orchestrate lifespan changes—and the functional modules they control. They validated their predictions experimentally and propose a framework that could be applied …
Researchers used artificial intelligence to analyze ECGs and calculate a person's cardiac "biological age"—how old their heart appears versus their calendar age. They found that people whose hearts looked older than they actually were had …
Quantifying biological aging is crucial for understanding functional decline before the onset of morbidity. While many accelerated aging and frailty measures based on clinical data exist for humans and several for rodent models of aging, …
The ability to adjust to changing environments (cognitive flexibility) and optimal decision-making are pivotal brain functions that govern successful human behavior. Anxiety and depressive disorders are strongly pervasive psychiatric conditions across the lifespan that profoundly …
Researchers analyzed 70 lab tests from 300,000 pregnancies and found that pregnancy triggers rapid aging in some systems (coagulation, thyroid, muscle) while rejuvenating others (kidney, iron, liver)—opposite to normal aging patterns. These 'rejuvenation' mechanisms could …
Biological age estimators quantify aging-related variation but provide limited insight into organ-specific aging processes. The retina enables non-invasive visualization of microvascular and neural structures and has emerged as a promising modality for biological age prediction. …
Researchers created an unprecedented atlas of gene activity in 1,675 human muscle biopsies, identifying over 3,000 genes that change with age and discovering that genes linked to muscle wasting in elderly people look strikingly similar …
Researchers conducted an intensive year-long self-study (N=1) combining time-restricted eating, exercise, Mediterranean diet, and continuous biomarker monitoring to assess how well a healthy person's body adapts to stress. The study demonstrates new methods for tracking …
Researchers used computer simulations to map how a NAD+ analog activates SIR2, an enzyme linked to aging, by triggering a cascade of conformational changes that act like an internal relay system. They identified a previously …