AIMC Journal:
bioRxiv

Showing 2251 to 2260 of 4979 articles

Towards Translational Sleep Staging: A Cross-Species Deep-Learning Model for Rodent and Human EEG

bioRxiv Feb 26, 2026
Study Objectives Automated sleep staging underpins clinical sleep assessment and translational neuroscience, yet most data analyses work addresses human and animal data separately. We tested whether a seizure-oriented machine learning framework can b...
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Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies

bioRxiv Feb 26, 2026
Differences in microbiome composition profoundly influence drug response, yet methods to model the metabolic interplay between tumors, microbes, and therapeutics remain limited. We present a generalizable framework combining machine learning and geno...
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A Benchmarking Study of Feature Screening Approaches Across Omics Classification Settings

bioRxiv Feb 26, 2026
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies attempt to identify key biomolecules associated with a particular biological process. Often, machine ...
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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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