AIMC Journal:
bioRxiv

Showing 2801 to 2810 of 4993 articles

Reduced Model-Based Control in Gambling Disorder Despite Intact Neural Value and Task Structure Representations

bioRxiv Jan 1, 2025
Disordered gambling has been linked to impairments in goal-directed (model-based) control and reinforcement learning. Here we investigated the potential neural basis of this impairment using a sequential reinforcement learning task (modified two-step...
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Development of convolutional neural networks for automated brain-wide histopathological analysis in mouse models of synucleinopathies

bioRxiv Jan 1, 2025
Preclinical animal models are indispensable for uncovering disease mechanisms and developing novel therapeutic interventions in synucleinopathies. Key readouts including neuronal cell death, neuroinflammation and alpha-synuclein protein aggregation, ...
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Physics-Informed Generative Model for 3D Localization Microscopy

bioRxiv Jan 1, 2025
Localization microscopy techniques have overcome the diffraction limit, enabling nanoscale biological imaging by precisely determining the positions of individual emitters. However, the performance of deep learning methods commonly applied to these t...
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Boundary constraints can determine pattern emergence

bioRxiv Jan 1, 2025
The robust patterning of cell fates during embryonic development requires precise coordination of signalling gradients within defined spatial constraints. Using a geometrically confined in vitro system derived from human embryonic stem cells, we demo...
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Age Classification of White-tailed Deer Via Computer Vision and Deep Learning

bioRxiv Jan 1, 2025
Accurate age estimation of wild whitetail deer remains a significant challenge for wildlife management. This study presents the first application of computer vision to whitetail buck age estimation using trail camera imagery, evaluating over sixty cl...
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EPEPDI: prediction of binding free energy changes from missense mutations in double and single-stranded DNA-binding proteins

bioRxiv Jan 1, 2025
Predicting changes in binding free energy due to missense mutations (MMs) in protein-DNA interactions (PDIs) is vital for understanding disease mechanisms and advancing therapeutic strategies. However, many existing models fail to account for the uni...
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Evaluation of Conditional Treatment Effect of Salt Stress on Tomato Sugar Content Using Causal Machine Learning: A Pilot Study

bioRxiv Jan 1, 2025
Exposing tomatoes to salt stress has been reported to increase the fruit sugar content (°Brix); however, this treatment’s causal impact under varying environmental conditions remains unclear. In this pilot study, a causal inference analysis was condu...
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Nanopore- and AI-empowered microbial viability inference

bioRxiv Jan 1, 2025
The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial for various microbial inferences, ranging from assessing ecosystem functions of environmental microbiomes to inferring the virulence of potential patho...
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Large Language Model Agent for Modular Task Execution in Drug Discovery

bioRxiv Jan 1, 2025
We present a modular framework powered by large language models (LLMs) that automates and streamlines key tasks across the early-stage computational drug discovery pipeline. By combining LLM reasoning with domain-specific tools, the framework perform...
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ODFormer: a Virtual Organoid for Predicting Personalized Therapeutic Responses in Pancreatic Cancer

bioRxiv Jan 1, 2025
Pancreatic cancer (PC) patient-derived organoids (PDOs) faithfully recapitulate therapeutic responses but face clinical translation barriers, including high costs and technical complexity. To address these problems and the lack of frameworks for PDO-...
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