AIMC Journal:
bioRxiv

Showing 2031 to 2040 of 4956 articles

Reinforcement Learning for Antibiotic Stewardship: Optimizing Prescribing Policies Under Antimicrobial Resistance Dynamics

bioRxiv Mar 16, 2026
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating stewardship strategies under partial observability and delayed feedback remains difficult in real-world data. We developed `abx_amr_simulator`, a Gymnasi...
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A new pipeline for cross-validation fold-aware machine learning prediction of clinical outcomes addresses hidden data-leakage in omics based 'predictors'.

bioRxiv Mar 16, 2026
Machine learning approaches are increasingly applied to high-dimensional biological data in which features are often dataset-dependent. In many omics workflows, features are computed using information derived from the entire dataset, such as correlat...
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Rapid Bacterial Identification and Antibiotic Susceptibility Testing through Interferometry-based Surface Topography Measurement

bioRxiv Mar 16, 2026
Antimicrobial resistance poses a critical global health threat. For many bacterial infections, such as bacteremia, treatment can fail due to the time it takes to identify appropriate antibiotics. Current antibiotic susceptibility testing (AST) method...
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SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification

bioRxiv Mar 16, 2026
Synapses are the fundamental units of neural computation, yet quantifying their organization across circuit-level scales remains a critical bottleneck in neuroscience. While advances in fluorescent labeling and imaging can generate vast datasets, ana...
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TracktorLive: an integrated real-time object tracking and response system

bioRxiv Mar 16, 2026
Real-time tracking and automated response systems are essential for standardising experiments, reducing observer bias, and improving reproducibility in studies of movement and behaviour. However, existing solutions face significant challenges: AI-bas...
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Stoic: Fast and accurate protein stoichiometry prediction

bioRxiv Mar 16, 2026
Motivation: Protein complexes are central to cellular function, but experimental determination of their structures remains challenging. Structure prediction methods require prior knowledge of stoichiometry - the number of copies of each protein entit...
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AetherCell: A generative engine for virtual cell perturbation and in vivo drug discovery

bioRxiv Mar 16, 2026
Virtual cell modeling is currently hindered by a "data-utility paradox": biological information is fragmented between context-rich clinical RNA-seq and perturbation-dense experimental assays, leading to poor predictive generalization in human context...
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LysinFusion: Integrating Multi-Feature Encoding and Hybrid CNN-Transformer Architecture for Phage Lysin Prediction

bioRxiv Mar 16, 2026
The growing threat of antimicrobial resistance underscores the demand for new therapeutic modalities. Phage lysins are promising candidates, yet their large-scale discovery from expanding genomic resources remains limited. Existing computational meth...
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Machine Learning Based Modelling of Human and Insect Olfaction Screens Millions of compounds to Identify Pleasant Smelling Insect Repellents

bioRxiv Mar 14, 2026
The rational discovery of behaviorally active odorants is impeded by limited information on how the olfactory system generates percept or valence for a volatile chemical. In previous studies, we showed that chemical informatics could be used to predi...
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Facilitating genome annotation using ANNEXA and long-read RNA sequencing

bioRxiv Mar 13, 2026
With the advent of complete genome assemblies, genome annotation has become essential for the functional interpretation of genomic data. Long-read RNA sequencing (LR-RNAseq) technologies have significantly improved transcriptome annotation by enablin...
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