AIMC Journal:
bioRxiv

Showing 81 to 90 of 4935 articles

Imputation-Based Harmonization Mitigates Site Effects Without Data Leakage in Machine Learning Studies

bioRxiv Oct 5, 2026
Neuroimaging studies that pool data across clinical sites often suffer from site effects --- variability in imaging measures that arises from technical heterogeneity across sites as opposed to true biological signal. While numerous harmonization meth...
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Spatial Sampling and Temporal Dynamics Shape Motor Decoding from Broadband Intracortical Signals

bioRxiv Oct 5, 2026
Objective. Neural decoding performance depends strongly on neural signal representation; however, how the informative components of broadband intracortical activity vary with electrode configuration and decoding strategy remains unclear. We systemati...
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Learning continuous updating and control of neural population activities from sparse time samples

bioRxiv Oct 5, 2026
The brain frequently updates or controls its internal representations of sensory or motor variables over time. An example is transsaccadic updating of stimuli's retinotopic positions: When the eye moves in one direction, the positions are updated con...
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Generating Structural Ensembles of Disordered Proteins with Diffusion Models

bioRxiv Oct 4, 2026
Generative models of protein structures have accelerated scientific discovery. However, the leading structure-prediction models are trained primarily on crystal structures, limiting their ability to sample the conformations of intrinsically disordere...
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High-Throughput Morphological Profiling of Patient-Derived Human Liver Organoids for Hepatotoxicity Hazard Identification and Compound Prioritization

bioRxiv Oct 4, 2026
Drug-induced liver injury (DILI) remains a major challenge in drug development because existing in vitro models poorly predict clinical hepatotoxicity. We coupled patient-derived human liver organoids (HLOs) with high-content imaging and automated ma...
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Integrating Developmental Neurotoxicity Prediction with Adverse Outcome Pathway Reasoning

bioRxiv Oct 4, 2026
Experimental assessment of developmental neurotoxicity (DNT) is costly, time-consuming, and difficult to scale across large chemical inventories. New approach methodologies (NAMs), including computational approaches based on machine learning, deep le...
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Longitudinal linear-epitope profiling of SLE identifies novel antigens associated with disease and disease activity

bioRxiv Oct 4, 2026
Systemic lupus erythematosus (SLE) is the prototypical systemic autoimmune disease defined by the production of autoantibodies directed against diverse self-antigens. Antinuclear antibodies (ANA) are central to SLE diagnosis, and anti-double-stranded...
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Distinct sequence grammars of nucleosomal and linker DNA shape mutational and methylation landscapes in cancer

bioRxiv Oct 4, 2026
Nucleosomes regulate DNA accessibility and thereby influence gene expression, DNA repair, and mutagenesis. Although DNA sequence strongly determines nucleosome positioning, the higher-order sequence grammar underlying nucleosome organization and its ...
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Traveling brain waves support flexible storage of human working memory

bioRxiv Oct 2, 2026
Human working memory enables us to temporarily store and flexibly utilize information. It is thought that there are two distinct neural mechanisms by which information is retained in working memory: persistent firing of working memory-relevant neuron...
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Deep learning models detect neuromuscular disease and quantify functional impairment from video-derived biomechanics data

bioRxiv Oct 2, 2026
Measurements of human movement are critical for evaluating patients with neuromuscular diseases. However, current clinical tools are limited in sensitivity and can fail to detect the full spectrum of movement changes patients may exhibit. These limit...
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