AIMC Journal:
bioRxiv

Showing 2131 to 2140 of 4956 articles

BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects

bioRxiv Mar 5, 2026
Chemical risk assessment for insects relies largely on mortality endpoints in a few model species, limiting detection of ecologically relevant sublethal effects and cross-taxon comparisons. Behaviour is a sensitive indicator of neurotoxic stress, but...
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A Machine Learning Framework for Serogroup Classification of pathogenic species of Leptospira Based on rfb Locus Profiles

bioRxiv Mar 5, 2026
Leptospira is a highly diverse genus traditionally classified by serological assays into more than 30 serogroups and over 300 serovars. However, this classification system is often complex and inconsistent, as cross-reactions between antigens can lea...
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A high-throughput method for measuring fungal growth rate on solid media using automated imaging and deep learning

bioRxiv Mar 5, 2026
Measuring the growth rate of filamentous fungi is an essential phenotype assay in fungal biology, enabling the comparison of nutrient-related fitness metrics across various isolates, species and genera. Conventional methods are time consuming and lab...
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Leveraging publicly available datasets and machine learning approaches for predicting the health benefits of fermented foods

bioRxiv Mar 5, 2026
Fermented foods are an ancient, near universal component of human dietary culture and are increasingly recognized for their health benefits. Bioactive peptides and biosynthetic gene clusters (BGCs) produced by microbes during fermentation have been s...
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Functional Locality-Aligned Learning Reveals Structure-Function Causality in Enzyme Kinetics

bioRxiv Mar 5, 2026
Accurate estimation of enzyme kinetic parameters is essential for enzyme engineering and industrial biocatalysis, yet their experimental measurement remains labor-intensive and costly. Although machine learning offers an efficient alternative, existi...
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The Geometry of Cognitive Difficulty: A Dynamical Manifold Theory in Excitable Neural Networks

bioRxiv Mar 5, 2026
Quantifying task difficulty remains an open theoretical problem in neuroscience and artificial intelligence. While difficulty is often treated as a scalar property of stimuli or optimization landscapes, neural computation unfolds as a transient recon...
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Genome-wide classification of tumor-derived reads from bulk long-read sequencing

bioRxiv Mar 5, 2026
DNA extracted from tissue samples typically derive from of a complex mixture of cell types. Without single cell analysis, it has been generally impossible to determine the cell type of origin for most molecules. One clear example of this is in the co...
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Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin--Cascade Learner of Thrombosis (CLoT) for personalized thrombosis prediction

bioRxiv Mar 5, 2026
We developed an integrated platform combining high-throughput automated biofabrication, systematic patient-derived tissue experiments, and specialized artificial intelligence to enable patient-specific computational "digital twins" for thrombosis pre...
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Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

bioRxiv Mar 5, 2026
Optical, ultrasound, and optoacoustic localization microscopy based on microparticle tracking has enabled surpassing the resolution limits imposed by ultrasound diffraction and optical diffusion in tissues. However, its reliance on high-speed (kilohe...
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Grounding olfactory perception in language: Benchmarks and models for generating natural language odor descriptions

bioRxiv Mar 5, 2026
Recent advances in deep learning have enabled prediction of odorant perception from molecular structure, opening new avenues for odor classification. However, most existing models are limited to predicting percepts from fixed vocabularies and fail to...
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