Machine Learning — OutliveHub

Preliminary Biomarkers — Aging clocks and measurement tools Observational PubMed

Quinoa skin cream shows molecular signs of reversing aging in human skin

A skin cream shifted protein patterns toward younger signatures, but this is early work and needs larger, independent studies before real benefits are proven.

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 …

Communications biology

42 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other bioRxiv

Can AI Systems Understand Aging? A New Test for Foundation Models

This test reveals whether AI systems actually understand aging science—critical because researchers increasingly use AI to help interpret aging data.

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 …

biorxiv (preprint)

27 Early

Preliminary Biomarkers — Aging clocks and measurement tools In Vitro PubMed

Growing human aging in a chip: A new lab model to test longevity drugs

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 …

Nature biomedical engineering

45 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other bioRxiv

A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis

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) …

biorxiv (preprint)

34 Early

Preliminary Pharmacological — Drugs and compounds that may slow or reverse aging. Rapamycin, metformin, NAD+ … Review / Commentary PubMed

Can ginseng compounds slow aging? A review of the science and future potential

Ginseng compounds show promise against aging in lab tests, but we lack proof they work in real people yet.

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 …

Critical reviews in food science and nutrition

35 Early

Preliminary Biomarkers — Aging clocks and measurement tools Observational bioRxiv

Can MRI scans reveal who's aging faster? A new framework using AI and 70,000 scans

Doctors might someday use MRI scans to spot organs aging too fast and predict disease risk years earlier.

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 …

biorxiv (preprint)

38 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other medRxiv

Development of a Multi-Trait Polygenic Score for Intrinsic Capacity

Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals physical and mental capacities, measured across five domains: cognitive, locomotor, psychological, vitality, and sensory. Although genetic factors are known to …

medrxiv (preprint)

34 Early

Promising Biomarkers — Aging clocks and measurement tools Observational PubMed

Your retinal images may reveal hidden aging and heart-kidney-metabolic disease risk

Researchers developed an AI model that estimates biological age from retinal photographs and found it correlates strongly with cardiovascular, kidney, and metabolic disease markers in over 30,000 people. This suggests eye imaging could become a …

Scientific reports

58 Promising

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other PubMed

Bioactive peptide matrikines: discovery approaches for skin rejuvenation.

Ageing of human skin is driven in part by cumulative damage to extracellular matrix (ECM) proteins, resulting in wrinkles, laxity, and reduced capacity to heal. Bioactive peptide matrikines are promising therapeutic agents capable of stimulating …

American journal of physiology. Cell physiology

46 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other medRxiv

Aging Out of the Blue: Estimating and Calibrating Region-specific Epigenetic Clocks for a Blue Zone via SuperLearner

Epigenetic clocks estimate biological age from DNA methylation patterns at CpG sites, providing robust predictions of mortality and morbidity risk. "Blue zones"--regions of exceptional longevity--offer a unique opportunity to investigate how biological aging diverges from …

medrxiv (preprint)

34 Early

Preliminary Biomarkers — Aging clocks and measurement tools Cohort Study medRxiv

A blood test for cellular aging predicts disease and mortality risk

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, …

medrxiv (preprint)

40 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Review / Commentary PubMed

How We're Moving From Understanding Aging to Actually Treating It

Scientists are shifting from just describing aging to actually figuring out how to slow or reverse it using drugs and personalized medicine.

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 …

Aging

36 Early

Preliminary Biomarkers — Aging clocks and measurement tools Observational PubMed

Can a Heart Ultrasound Tell Your True Age?

A simple heart ultrasound with AI software might reveal how much your cardiovascular system has aged, helping catch metabolic problems early.

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 …

European heart journal. Digital health

44 Early

Promising Biomarkers — Aging clocks and measurement tools Observational PubMed

How pregnancy ages some body systems while rejuvenating others—insights for slowing aging

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 …

Nature communications

58 Promising

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other medRxiv

Disentangling physiological heterogeneity in retinal aging using a deep learning-based biological age framework

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. …

medrxiv (preprint)

34 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Other medRxiv

A comprehensive map of how skeletal muscle ages at the genetic level

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 …

medrxiv (preprint)

41 Early

Preliminary Biomarkers — Aging clocks and measurement tools Other medRxiv

Testing a Personalized Digital Health Protocol to Boost Resilience in One Individual

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 …

medrxiv (preprint)

25 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins In Vitro PubMed

How a NAD+ mimic activates the aging-linked SIR2 protein through internal communication networks

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 …

PLoS computational biology

41 Early

Preliminary AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Animal Model bioRxiv

Two-phase aging model reveals critical vulnerability period in flies and mice

Researchers identified a quantitative framework showing that aging proceeds in two distinct phases: a stable period followed by a transition to frailty marked by intestinal breakdown. They found that newly frail individuals face extreme early …

biorxiv (preprint)

33 Early

Preliminary Biomarkers — Aging clocks and measurement tools Observational medRxiv

Aging May Be a Spreading Disorder of System-Wide Coordination

If this holds up, we may have a better way to measure your body's aging and spot problems early—by checking how well your organ systems still talk to each other.

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 …

medrxiv (preprint)

37 Early