AIMC Journal:
bioRxiv

Showing 2231 to 2240 of 4956 articles

Developing And Internally Validating AI-Based Aging Resilience Biomarkers in Non-Human Primates

bioRxiv Feb 26, 2026
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, there are fe...
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Identifying severe COVID-19 risk variants modulating enhancer reporter activity in lung cells

bioRxiv Feb 26, 2026
Common genetic variants contribute to risk for complex human diseases. However, despite thousands of associations, variants modulating disease risk and their functional impact remain largely unknown. This includes SARS-CoV-2 infection, where outcomes...
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Evaluating Transferability and Robustness of Process-Guided Neural Networks in Forest Carbon Flux Modelling

bioRxiv Feb 25, 2026
Making robust and generalizable predictions within ecological systems such as forests remains challenging due to limited data availability and the slow pace of environmental change. To address this, we integrate a semi-empirical environmental process...
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Deep learning framework ChIANet predicts protein-mediated chromatin architecture across functional contexts

bioRxiv Feb 25, 2026
The spatial organization of the genome is dynamically shaped by chromatin-binding proteins, yet how protein-mediated three-dimensional (3D) architectures are specified across functional contexts remains incompletely understood. Here we present ChIANe...
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Using machine learning to automate the analysis of an olfactory habituation-dishabituation task in mice

bioRxiv Feb 25, 2026
Introduction Improving the efficiency and accuracy of annotation and extraction of performance data from mouse behavioural tasks will improve both the throughput and scientific value of preclinical research. Methods Here, we present and validate an a...
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AI-BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

bioRxiv Feb 25, 2026
We introduce AI-BioMech, a deep learning based framework that directly predicts the mechanical response of cellular structures from 2D images, eliminating the need for manual geometry definition and traditional finite element simulations. The framewo...
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Longitudinal modality prediction learns gene regulatory patterns: insights from a single-cell competition

bioRxiv Feb 25, 2026
Simultaneous measurement of chromatin, transcriptomic, and proteomic features in single cells opens new avenues for modeling interactions between molecular layers during dynamic biological processes. Predicting one modality from another - such as inf...
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Domain-adaptation deep learning models do not outperform simple baseline models in single-cell anti-cancer drug sensitivity prediction

bioRxiv Feb 25, 2026
Tumor drug response is profoundly shaped by cellular heterogeneity, making single-cell resolution essential for precision oncology. While drug-response labels are abundant for cell lines at bulk resolution, translating these predictive models to the ...
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Camera trapping and passive acoustic monitoring as non-invasive techniques for the study of small mammals

bioRxiv Feb 25, 2026
Terrestrial small mammals are of significant importance worldwide in providing valuable ecosystem services and acting as invasive species, pests, and carriers of disease. Many species are under threat from anthropogenic stressors and non-invasive tec...
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OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery

bioRxiv Feb 25, 2026
Therapeutic target discovery remains a critical yet intuition-driven bottleneck in drug development, typically relying on disease biologists to laboriously integrate diverse biomedical data into testable hypotheses for experimental validation. Here, ...
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