AIMC Journal:
bioRxiv

Showing 1591 to 1600 of 4956 articles

Human intracranial correlates of dynamic coding in auditory working memory

bioRxiv May 11, 2026
Working memory (WM), the human brain's system for maintaining and manipulating information over short timescales, is critical for goal-directed behavior. Classic neurophysiological models, which emphasize persistent delay activity, are being challeng...
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BioMADE: Predicting Torsades de Pointes from molecular structures through biologically informed representations

bioRxiv May 11, 2026
Drug-induced arrhythmias, particularly Torsades de Pointes (TdP), pose a significant risk to patient safety and can sometimes have life-threatening outcomes. They remain a major concern in drug development and regulation. Machine learning (ML) has be...
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Talk2QSP: Deriving Executable Scenarios from Unstructured Literature via Human-in-the-Loop Agents

bioRxiv May 11, 2026
Quantitative Systems Pharmacology (QSP) models play an inherently interventional role in pharmaceutical research and development, functioning as executable causal systems for designing, evaluating, and replacing clinical trials. However, deploying QS...
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FiberLM: A Transformer-Based Model for Mouse Brain Diffusion MRI Tractography Guided by Viral Tracer Data

bioRxiv May 11, 2026
Diffusion MRI (dMRI) tractography provides a non-invasive method for mapping whole-brain structural connectivity. However, its application is limited by substantial false-positive and false-negative connections. While deep learning based methods have...
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3DBrainOne: an integrated end-to-end platform for 3D histological analysis of whole mouse brains

bioRxiv May 11, 2026
Three-dimensional (3D) whole-organ imaging and analysis at cellular resolution (termed 3D histology) provide profound insights into the organization and interactions of cells throughout organs. However, the quantitative analysis of these massive data...
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Investigation of Protein Melting Temperature Prediction with Cross-Method Validation on Biophysical Data

bioRxiv May 11, 2026
Motivation: Protein melting temperature (Tm) prediction accelerates the discovery of thermostable enzymes which are crucial for industrial biotechnology often requiring harsh reaction conditions. Experimental determination of Tm remains labour-intens...
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pyTrance finds co-localizing RNAs in subcellular spatial transcriptomics data

bioRxiv May 11, 2026
Regulation of RNA subcellular localization is crucial for cellular functions in health and disease. For example, local translation of co-localized RNAs is crucial for neural biology. However, it is challenging to identify RNA co-localization events. ...
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Cadence: A Benchmark Evaluation of the Narrative Velocity Framework for Next Clinical Event Prediction in MIMIC-IV

bioRxiv May 11, 2026
Objective: How structured clinical features and cluster-semantic embeddings interact under self-distillation in EHR prediction models is unknown. Existing approaches treat these sources separately (gradient-boosted trees exploit tabular features whil...
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sxRaep: A Rapid and Accurate Enzyme Predictor for high-throughput mining of enzymatic sequences

bioRxiv May 11, 2026
Metagenomic sequencing generates petabyte-scale sequence datasets that strain both deep learning and alignment based enzyme annotation tools. A lightweight rapid and accurate filter tool is needed to identify enzymatic sequences prior to resource-int...
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Predicting Discrete Structural Transformations in Small Molecules from Tandem Mass Spectrometry

bioRxiv May 11, 2026
Tandem mass spectrometry (MS/MS) fragments molecules into smaller pieces, generating spectra composed of m/z values and intensities that encode structural information for molecular annotation. With increasing mass spectrometry data acquisition speeds...
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