Geriatrics

Revive-Flow: A Foundation Model for Blood DNAm Aging

Epigenetic clocks can predict biological age but cannot prescribe the interventions needed to reverse it. Here, we introduce REjuVenatIon Via Epigenetic Flow (Revive-Flow), a flow-matching model trained on a broad compendium of epigenetic blood studies to transport methylomes forward and backward in time. First, we learn the continuous vector field of aging as an Ordinary Differential Equation (OD...

Claustrum volume in humans – lifespan trajectory and effect of age, hemisphere, and sex

The human claustrum is a bilateral, thin, irregularly shaped gray matter structure located between the striatum and insula. While previous research demonstrated the effect of distinct medical conditions, such as prematurity, schizophrenia, and Alzheimer’s disease, on claustrum function and structure, it is poorly understood how non-pathologic biological conditions effect the claustrum. This study ...

BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML

Large language model (LLM) agents hold promise for accelerating biomedical research and development (R&D). Several biomedical agents have recently bee...

SynGlue: AI-Driven Designer for Clinically Actionable Multi-Target Therapeutics

The rational design of multi-targeting compounds and targeted protein degraders, such as PROTACs, remains a significant challenge in drug discovery. H...

Frequency-Aware Interpretable Deep Learning Framework for Alzheimer’s Disease Classification Using rs-fMRI

Gaining insight into the spectral and temporal alterations in brain connectivity associated with Alzheimer’s disease (AD) may offer pathways toward mo...

Aging diminishes interlaminar functional connectivity in the mouse cortical V1 and CA1 hippocampal regions

Aging disrupts brain network integration and is a significant risk factor for cognitive decline and neurological diseases, yet the circuit-level mecha...

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data

Alzheimer’s disease and related dementias (ADRD) involve overlapping neurodegenerative and vascular pathologies—such as amyloid-β (Aβ), tau, cerebral ...

Lysosomal multi-omics reveals altered sphingolipid catabolism as driver of lysosomal dysfunction in the aging brain

Recent data indicate that lipid composition has profound influence on the brain function and that changes in lipid homeostasis affect brain aging and ...

Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features

Artificial intelligence (AI) is making notable advances in digital pathology but faces challenges in human interpretability. Here we introduce EXPAND ...

Building an ‘epigenetic clock’: Utilizing whole genome DNA methylation patterns to predict age in haddock, Melanogrammus aeglefinus

Age-based population models are a gold standard approach to estimate stock size and sustainable catch recommendations for effective fisheries manageme...

Hippocampal grey matter changes across scales in Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive and debilitating neurodegenerative disease of the central nervous system, characterized by deterioration in ...

A Systematic Fairness Evaluation of Racial Bias in Alzheimer’s Disease Diagnosis Using Machine Learning Models

Alzheimer’s disease (AD) is a major global health concern, expected to affect 12.7 million Americans by 2050. Machine learning (ML) algorithms have be...

Robust prediction of drug combination side effects in realistic settings

Side effects caused by drug combinations pose a major challenge in healthcare. Knowledge of these side effects is limited because often they are not d...

Long-Read epigenetic clocks identify improved brain aging predictions

Epigenetic clocks are widely used to estimate biological aging, yet most are built from array-based data from peripheral tissues of predominantly Euro...

Cooperative multi-view integration with Scalable and Interpretable Model Explainer

Single-omics approaches often provide a limited perspective on complex biological systems, whereas multi-omics integration enables a more comprehensiv...

Accurate and efficient phylogenetic inference through end-to-end deep learning

Accurate phylogenetic inference is crucial for understanding evolutionary relationships among species. Deep learning technique has been introduced for...

Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection

This study critically reevaluates the utility of brain-age models within the context of detecting neurological and psychiatric disorders, challenging ...

One-Class Bioacoustic Detector for Monitoring the Critically Endangered Pied Tamarin (Saguinus bicolor)

The pied tamarin (Saguinus bicolor) is a critically endangered primate with a small geographic range that includes fragmented urban forest mosaics in ...

HypoAD: volumetric and single-cell analysis reveals changes in the human hypothalamus in aging and Alzheimer’s disease

Alterations in metabolism, stress response, sleep, circadian rhythms, and neuroendocrine processes are key features of aging and neurodegeneration. Th...

MRI-based classifier to identify close-to-onset cases in C9orf72 genetic frontotemporal dementia

Predicting symptom onset in genetic frontotemporal dementia (FTD) is crucial for advancing targeted interventions and clinical trial design. Brain cha...