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

Sleep Disorders and Male Infertility: Integrated Mechanisms and Precision Therapeutic Strategies.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insufficiently integrated into andrological research and clinical practice.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insufficiently integrated into andrological research and clinical practice. Sleep disorders have emerged as an increasingly important but …

Andrology Feb 15, 2026

38 Early

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

How Your Brain Uses Predictions to Shape What You See

This paper presents a computational model of how the brain uses predictions and prior knowledge to filter and interpret sensory information. While the model shows promise in explaining existing behavioral and brain imaging data, it's …

biorxiv (preprint) Feb 13, 2026

24 Weak

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

New anti-cancer compounds show promise in mouse models of liver cancer

Researchers synthesized a new class of hybrid molecules combining an anti-cancer drug scaffold (sulfadiazine) with a 5-oximidazoline ring structure, and found that one compound (7l) killed liver cancer cells in the lab and extended survival …

Future medicinal chemistry Feb 12, 2026

36 Early

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

How a 30+ Year Old Fish Reveals Secrets About Invasive Species Survival

Researchers studied an unusually long-lived population of invasive bighead carp and found they survive at very high rates (>95% annually) but grow slowly, with implications for predicting how invasive species establish themselves. This work has …

Journal of fish biology Feb 12, 2026

38 Early

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

A faster way to map genes that respond to their environment in disease

Researchers developed FastGxC, a computational method that finds genes whose activity changes depending on tissue or cell type context—a key mechanism in disease risk. The tool is a million times faster than existing approaches and …

biorxiv (preprint) Feb 12, 2026

34 Early

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

Building a virtual fruit fly larva that behaves like the real thing

Researchers created a computational model that simulates how fruit fly larvae move, navigate, and learn—combining physics-based locomotion with neural circuits and behavior. This tool could help neuroscientists test theories about how brains control behavior without …

biorxiv (preprint) Feb 12, 2026

32 Early

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

AI learns to map kidney structures from natural fluorescence for aging research

Researchers trained artificial intelligence models to automatically identify different kidney cell structures using a simple imaging technique, without needing stains or labels. This tool could help scientists understand how kidneys age and develop better tests …

biorxiv (preprint) Feb 12, 2026

31 Early

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

How Hydra's body plan forms through molecular competition: new mathematical insights

Researchers created a mathematical model showing how two inhibitor proteins (Dickkopf) and Wnt signalling interact to form Hydra's body axis through mutual inhibition rather than the classical activator-inhibitor mechanism. This provides a mechanistic blueprint for …

biorxiv (preprint) Feb 12, 2026

28 Early

Promising AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Meta-Analysis bioRxiv

Brain networks underlying impulsive financial choices may help diagnose mental health conditions

This meta-analysis of 80 brain imaging studies identifies which research methods reliably detect the neural circuits involved in delay discounting—the tendency to prefer immediate rewards over future ones. The findings suggest that future studies should …

biorxiv (preprint) Feb 12, 2026

53 Promising

Promising AI & Computational — Machine learning in aging, drug discovery, protein folding, and digital twins Meta-Analysis bioRxiv

Brain regions for effort trade-offs: where the mind weighs reward against difficulty

This meta-analysis of 45 neuroimaging studies (1,273 participants) identified distinct brain regions that process rewards and task difficulty separately, then integrate them to decide whether mental effort is worth the reward. The findings clarify how …

biorxiv (preprint) Feb 12, 2026

50 Promising

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

Eight genes predict survival and immunotherapy response in liver cancer

Researchers identified eight genes linked to cellular senescence that can predict which liver cancer patients will survive longer and respond to immunotherapy. The findings come from analyzing gene expression patterns in individual cancer cells and …

Human mutation Feb 12, 2026

46 Early

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

AI System Identifies 500+ Aging-Slowing Interventions Hidden in Existing Data

Researchers used AI agents to reanalyze millions of existing molecular datasets (methylation and RNA sequencing) through the lens of aging clocks, discovering over 500 interventions that appear to reduce biological age—including drugs like ouabain and …

biorxiv (preprint) Feb 12, 2026

48 Early

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

A faster way to map protein modifications across aging tissues

Researchers developed MuPPE, a streamlined platform that analyzes three types of protein modifications (glycosylation, phosphorylation, and overall protein levels) from a single tissue sample in 4 hours instead of 32 hours. When applied to aging …

Nature communications Feb 12, 2026

48 Early