AIMC Journal:
bioRxiv

Showing 1331 to 1340 of 4956 articles

Deep-Palm：an integrated deep learning framework for structure-aware prediction of protein S-Palmitoylation

bioRxiv May 28, 2026
Protein S-palmitoylation is a critical and reversible lipid modification that governs protein localization, trafficking, and signaling. Its dysregulation is increasingly implicated in cancer and therapeutic resistance, highlighting an urgent need for...
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Title: Zero-shot automated insulin delivery for type 1 diabetes via dynamic physiology-aware reinforcement learning

bioRxiv May 28, 2026
Insulin therapy for type 1 diabetes requires continual dose adjustment to meals, activity, stress, illness, and changing insulin sensitivity, creating a substantial self-management burden and increasing the risk of dosing errors. We developed the Dyn...
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Evaluating Long-Range Temporal Structure in Foundation Model-Based Forecasts of Heartbeat Dynamics

bioRxiv May 28, 2026
We examine the long-range temporal structure of forecasts produced by Time-Series Foundation Models (TSFMs) on heartbeat dynamics using the MIT-BIH Normal Sinus Rhythm Database (NSRDB). Our findings indicate that these models do not adequately captur...
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CARIBOU: Computational AI Research Interface for Bioinformatics, Omics, and Unifying Agents

bioRxiv May 28, 2026
Single-cell and spatial omics technologies are generating biological datasets at a scale that increasingly exceeds the capacity of expert manual analysis. Although large language models (LLMs) can generate bioinformatics code, most existing systems r...
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Identification of Heterogeneous Cortical Thickness Patterns Associated with Prenatal Gestational Diabetes Exposure: A SuStaIn-Based Subtyping Study

bioRxiv May 28, 2026
Importance: Prenatal exposure to gestational diabetes mellitus (GDM) has been associated with adverse metabolic, neurodevelopmental, and psychiatric outcomes in offspring. However, whether GDM-exposed youth exhibit heterogeneous neuroanatomical patte...
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Striatal Cholinergic Interneurons Signal Aversion and Drive Avoidance

bioRxiv May 28, 2026
Seeking reward and avoiding punishment are essential for survival. However, how the brain learns aversive value and generates avoidance remains poorly understood. We investigate acetylcholine-releasing striatal cholinergic interneurons (ChIs), which ...
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TaxonMatch: taxonomic integration and tree construction from heterogeneous biological databases

bioRxiv May 28, 2026
Integrating taxonomic data across heterogeneous biological databases remains a major challenge in biodiversity research due to non-standardized nomenclature, incomplete synonym annotation, and inconsistencies in taxonomic hierarchies. These issues li...
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Supervised Domain Adaptation Mitigates Cross-Ethnicity Prediction Error in Neuroimaging Based Cognitive Prediction

bioRxiv May 28, 2026
Research has developed machine-learning models to predict cognitive and clinical outcomes from neuroimaging data, yet fairness and generalizability remain key challenges. Large-scale datasets are often demographically imbalanced, leading to systemati...
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Deep learning-based decoding of axonal ultrastructure in gene-edited mice using electron microscopy imaging

bioRxiv May 27, 2026
Myelin forms an insulating sheath around axons enabling both rapid and energy-efficient conduction of action potentials and myelin abnormalities or loss can lead to severe motor, sensory, and cognitive impairment. While electron microscopy can resolv...
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Inhibition benefits neural system identification

bioRxiv May 27, 2026
Neural system identification approaches use empirical data to fit the stimulus-response functions of neurons. Augmented by deep neural networks, such models have achieved high predictive performance and allow to perform in silico experiments to test ...
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