AIMC Journal:
bioRxiv

Showing 2791 to 2800 of 4979 articles

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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Mechanistic modeling and machine learning identifies optimum radiotherapy schedules to prevent treatment-induced metastasis

bioRxiv Jan 1, 2025
Lung cancer patients often experience increased metastasis formation after radiotherapy. However, it is incompletely understood whether radiation affects the migratory behavior of tumor cells and how altered radiotherapy schedules might mitigate this...
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Atomic resolution ensembles of intrinsically disordered proteins with Alphafold

bioRxiv Jan 1, 2025
Intrinsically disordered proteins are ubiquitous in biological systems and play essential roles in a wide range of biological processes and diseases. Despite recent advances in high-resolution structural biology techniques and breakthroughs in deep l...
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GARN3: A coarse-grained helix centered technique for RNA 3D structures prediction

bioRxiv Jan 1, 2025
The study of the prediction of three-dimensional structures of RNA (ribonucleic acids) has been increasing over the last decades, especially with advances in artificial intelligence. However, there are still many gaps. Among the known techniques, GAR...
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Brainwide hemodynamics predict EEG neural rhythms across sleep and wakefulness in humans

bioRxiv Jan 1, 2025
The brain exhibits rich oscillatory dynamics that play critical roles in vigilance and cognition, such as the neural rhythms that define sleep. These rhythms continuously fluctuate, signaling major changes in vigilance, but the widespread brain dynam...
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