AIMC Journal:
bioRxiv

Showing 1231 to 1240 of 4956 articles

Label-Free AI-Classification of Subcellular Organelles Based on Optical Photothermal Infrared Images

bioRxiv Jun 5, 2026
Cells maintain homeostasis by dynamically reorganizing their organelles to tune metabolism in response to stress. Fluorescence microscopy maps organelle locations with subcellular resolution but provides limited information on their chemical composit...
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MarkerScout: A Disease-Agnostic Machine Learning Framework for Biomarker Prediction from Multi-Scale Mechanistic Models

bioRxiv Jun 5, 2026
Identifying robust biomarkers from high-dimensional biomedical data is a central challenge in translational research, but candidate rankings produced by any single feature-selection or classification method depend on algorithmic choices and rarely re...
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Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans

bioRxiv Jun 5, 2026
Brain magnetic resonance imaging (MRI) is essential for diagnosis and neurodevelopmental research, but the high cost and infrastructure demands of high-field MRI limit its use to high-income settings. Ultra-low-field MRI scanners offer a more afforda...
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Predictive metabolomics to decipher plant eco-evolutive tendencies and physiological traits

bioRxiv Jun 5, 2026
Plant ecological and evolutionary strategies are shaped by interactions between phylogenetic history and environmental constraints, resulting in leaf and stomatal traits. However, traditional trait-based and phylogenetic approaches often fail to full...
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Robust Multi-Mutant Protein Stability Prediction from a Fine-Tuned Evolutionary Scale Model

bioRxiv Jun 5, 2026
Recently, high-throughput experimental techniques have propelled improvements in deep learning-based prediction of mutation effects on protein stability. However, leading stability predictors still struggle to predict the combined effect of multiple ...
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Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning

bioRxiv Jun 4, 2026
Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, yet the field still lacks an integrated, multimodal understanding of these brain-behavior links. Here, we examined how structural, microstructural, and ...
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Sensorimotor encoding of epistemic value during goal-directed causal learning

bioRxiv Jun 4, 2026
Understanding the neural and computational mechanisms underlying goal-directed causal learning is a central challenge in both cognitive neuroscience and artificial intelligence. This cognitive function depends on balancing reward maximization with in...
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An interpretable machine learning framework for dog breed inference and ancestry decomposition

bioRxiv Jun 4, 2026
The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of intense artificial selection and recurrent population bottlenecks. While breed labels are widely used in genetic and veterinary studies, inferring breed...
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Learning residue-level context for modeling protein-protein interactions

bioRxiv Jun 4, 2026
Protein language models (PLMs) enable prediction of protein properties by learning residue-level features from sequence, yet most PLM-based approaches to protein-protein interactions aggregate information across entire proteins, limiting resolution a...
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Low-dimensional prefrontal representations of objects during working memory

bioRxiv Jun 4, 2026
There is an ongoing debate regarding the dimensionality of neural representations. Some accounts emphasize representation within low-dimensional subspaces or manifolds, while others suggest high-dimensional neural codes where neurons respond independ...
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