AIMC Journal:
bioRxiv

Showing 91 to 100 of 4935 articles

Multiscale mapping of venous remodelling in idiopathic pulmonary fibrosis

bioRxiv Oct 2, 2026
The integrity of the pulmonary vasculature is a key determinant of lung health, yet challenges in visualisation and quantification have hindered interrogation of its pathophysiological role in chronic lung disease. Here, we align recent advances in m...
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GroundAnnot: a closed-vocabulary contract for grounding LLM gene-set annotation in live enrichment backends

bioRxiv Oct 2, 2026
Motivation: LLM agents increasingly draft functional interpretations of gene lists, but can cite Gene Ontology (GO) terms that no current enrichment backend returned for that list, and can pair real GO accessions with fabricated labels. Results: We p...
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Attractor dynamics underlie sequence working memory in data-constrained recurrent neural networks

bioRxiv Oct 1, 2026
Sequences of stimuli can be maintained in working memory by encoding each item, together with its position, as a distinct pattern of neural population activity. Competing hypotheses about the underlying dynamics have been proposed: patterns of activi...
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From seven combination hypotheses to one testable interaction: a gated agentic AI QSP workflow applied to healthy ageing interventions

bioRxiv Oct 1, 2026
Large language model (LLM) agents can propose combination therapies and construct supporting mechanistic models far quicker than either can be verified. To address this gap, we built a gated agentic AI quantitative systems pharmacology (Ai QSP) workf...
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Branch-Wise Regularization for Heterogeneous GNN-Based MALDI-TOF AMR Prediction with Biomarker-Consensus Edges

bioRxiv Oct 1, 2026
This paper predicts antimicrobial resistance (AMR) from matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectra using DRIAMS, evaluated across 13 species-antibiotic datasets spanning sensitive/resistant imbalance ratios of...
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HMVA-DDI: A Hierarchical Multi-View Attention Network for Drug-Drug Interaction and Severity Prediction

bioRxiv Oct 1, 2026
Background and Objective: Prescribing multiple drugs simultaneously, known as polypharmacy, is increasingly common in managing chronic diseases such as diabetes and cardiovascular conditions. Studies show that roughly 40% of elderly patients are on f...
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AmyloCore-ML: AI/Machine Learning Enabled Identification of Amyloid Fibril Core Regions Using Protein Language Models

bioRxiv Oct 1, 2026
In many neurodegenerative and systemic disorders, proteins can form insoluble protein aggregates called amyloids. Identification of amyloid forming regions in a protein remains central to understanding of its aggregation behaviour. Many predictors ha...
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Evidence Scaling for Zero-Shot Protein Reasoning with Large Language Models

bioRxiv Oct 1, 2026
Large language models (LLMs) show emerging zero-shot capability for protein variant prediction, yet still lag behind specialized protein models. We ask whether this gap can be reduced by scaling access to biological evidence rather than adapting mode...
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Reactive and predictive processes during unpredictable driving collisions in virtual reality: an exploratory immersive study with multimodal neurophysiological monitoring

bioRxiv Oct 1, 2026
Anticipatory neurophysiological activity before unpredictable emotional events has been reported for decades, but the effects are small, difficult to replicate, and obtained almost exclusively in stripped-down laboratory paradigms: brief, repetitive ...
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Reaction-aware hypergraph learning of chemical representations with LARK

bioRxiv Oct 1, 2026
Molecular pretraining offers a route to learning transferable chemical representations from unlabelled data. However, existing approaches pretrained on isolated molecular structures struggle to generalize to reaction-specific tasks because their pret...
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