AIMC Journal:
bioRxiv

Showing 221 to 230 of 4935 articles

Online synaptic credit assignment in active dendrites

bioRxiv Sep 18, 2026
Credit assignment in neural networks is usually formulated as the computation of an abstract error gradient. Whether such a gradient can take a physical, causal form in biophysically detailed multi-compartment neuron models, and enable online, superv...
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Machine learning reveals sequence and genomic context features underlying Alu-specific effects on genome folding

bioRxiv Sep 18, 2026
The Alu transposable element is among the most abundant classes of mobile DNA in the human genome, and has been linked to gene regulation and chromatin organization. Yet how individual Alu insertions influence nearby chromatin interactions remains po...
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An Interpretable EEG Machine Learning Prototype for Alzheimers Disease Classification

bioRxiv Sep 18, 2026
Resting-state electroencephalography (EEG) can capture the slowing of neural oscillations associated with Alzheimers disease (AD), but many machine-learning studies remain difficult to inspect, reproduce, or test. This study developed an interpretabl...
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Physical priors improve performance of structure-based binding affinity models

bioRxiv Sep 18, 2026
Structure-based drug discovery is a widely used paradigm for the rational design of novel small molecule therapeutics. However, the benefits conferred by the use of structural information has seen limited adoption in machine learning, where ligand-on...
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Rapid Shift Toward Pulsed Field Ablation and Precision Risk Stratification in High-Impact Atrial Fibrillation Research

bioRxiv Sep 18, 2026
Conventional bibliometrics rely on lifetime citations, obscuring immediate shifts in cardiovascular research paradigms. To track emerging trends in atrial fibrillation management, we performed a comparative bibliometric analysis of the 50 highest-cit...
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A Hybrid Residual-Swin Transformer Design with Attention for Prostate Cancer Segmentation

bioRxiv Sep 18, 2026
Prostate cancer, a leading cause of cancer-related deaths among men globally, necessitates the development of precise diagnostic and treatment strategies. Accurate segmentation of prostate cancer in medical imaging, particularly in MRI scans, is cruc...
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An open field phenomics resource for multimodal maize yield prediction across divergent environments

bioRxiv Sep 18, 2026
Temporal drone phenotyping captures crop development, but irregular flight schedules complicate comparisons across environments. We release curated imagery from 356 flights across 19 Genomes to Fields environments containing 1,180 maize (Zea mays L.)...
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Mining association rules for targeted spatiotemporal aquatic environmental DNA (eDNA) sampling

bioRxiv Sep 18, 2026
Environmental DNA (eDNA) offers a non-invasive alternative to traditional, more destructive sampling methods for determining species occupancy at ecological sites of interest. Aquatic eDNA sampling entails filtering a known volume of water to capture...
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BoneGraph: A Domain-Specialised, Self-Correcting Reasoning System for Bone Science Retrieval, Grounded Inference, and Image Mechanics

bioRxiv Sep 18, 2026
Bone science literature spans biology, mechanics, materials science, and clinical medicine, and its volume makes reliable knowledge synthesis increasingly difficult. General-purpose large language models (LLMs) answer fluently but under-represent thi...
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Predicting Neoantigen Immunogenicity from In Vivo Immune Editing

bioRxiv Sep 18, 2026
Neoantigen immunogenicity prediction is fundamental to personalized cancer vaccines, tumor-infiltrating lymphocyte (TIL) therapy, and TCR-T cell engineering. Existing computational predictors rely primarily on in-vitro correlates of peptide presentat...
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