AI & Computational — OutliveHub

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

Computer Model Suggests Combining Four Drugs May Slow Aging Better Than Using Them Alone

A computer model suggests that combining four existing drugs differently might slow aging better than current uses, but human testing is needed.

Researchers built a computer simulation of how aging works in the body and tested which combination of four existing drugs (semaglutide, SGLT2 inhibitors, metformin, and rapamycin) might slow aging most effectively. The model suggests that …

medrxiv (preprint)

21 Weak

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

How Yeast Reveals the Hidden Network of Aging Genes

Identifying which genes truly control aging could help scientists pick better anti-aging targets to test.

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 …

Aging cell

60 Promising

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 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

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

Mapping the genetic and molecular roots of aging and longevity

Researchers identified genes and molecules linked to aging that could become drug targets—but these are leads, not proven treatments yet.

Researchers analyzed genetic and molecular data to identify genes, proteins, and metabolites linked to aging speed and human lifespan. They found that cholesterol, immune function, and growth hormone signaling play key roles, and pinpointed three …

npj aging

53 Promising

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

Why Astronauts Are the Perfect Model for Understanding Aging

Understanding how astronauts' bodies age fast in space could reveal new ways to keep older people healthy and strong longer.

Astronauts experience accelerated aging across multiple body systems—heart, muscles, brain, and immune function—due to space environment stressors like microgravity and radiation. This paper argues spaceflight is a uniquely informative human model for studying aging mechanisms …

Nature aging

35 Early

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

Mapping Structural Aging of Human Tissue reveals tissue-specific trajectories and coordinated deterioration

Tissue structure, the organization of cells, vasculature and extracellular matrix, underpins organ function. Yet how it deteriorates with age remains largely uncharacterized. Current aging research focuses primarily on molecular changes, missing this structural dimension. Here …

biorxiv (preprint)

34 Early

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

Ginsenoside Rg1 delays chronological aging in a yeast model via SSE1-Mediated mitophagy.

Ginsenoside Rg1 (Rg1), an active compound in Panax ginseng C. A. Meyer (ginseng), has shown potential to ameliorate age-related cell damage and extend lifespan in multiple model organisms. However, the precise molecular mechanisms of its …

Gene

46 Early

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

Unraveling cellular longevity pathways in poultry under heat stress: functional and computational characterization of the adaptogenic formulation Phytocee™.

UNLABELLED: Heat stress significantly disrupts physiological and molecular balance in poultry, leading to oxidative damage, inflammatory responses, and metabolic dysregulation. Among emerging solutions, phytogenic adaptogens have shown promise as natural agents that enhance resilience against …

In silico pharmacology

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

Peakspan: Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan.

The unprecedented extension of the human lifespan necessitates a parallel evolution in how we quantify the quality of aging and its socioeconomic impact. Traditional metrics focusing on Healthspan (years free of disease) overlook the gradual …

Aging and disease

43 Early

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

The age paradox in post-infectious sequelae: physiological reserve outweighs chronological age in Long COVID susceptibility

Background Older age is widely considered a risk factor for post-acute sequelae of SARS-CoV-2 infection (PASC), typically attributed to immunosenescence and inflammaging. However, whether this association reflects intrinsic biological ageing or accumulated comorbidity burden remains …

medrxiv (preprint)

34 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

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

How naked mole rats rewired their proteins to live exceptionally long

Naked mole rats rewired their proteins to survive stress; understanding this might reveal new ways to slow human aging.

Researchers discovered that naked mole rats—which live 10x longer than similar-sized rodents—have undergone massive evolutionary changes in protein structure, particularly in regions that handle stress and prevent cancer. These changes appear to stabilize certain proteins …

biorxiv (preprint)

32 Early