AIMC Journal:
bioRxiv

Showing 1401 to 1410 of 4956 articles

Large-Scale Assessment of Animal-to-Human Drug Translation Using Natural Language Processing

bioRxiv May 22, 2026
Background: Large-scale estimates of animal-to-human drug translation and the study characteristics associated with successful translation remain limited. The expanding preclinical literature also challenges manual evidence synthesis. We developed a ...
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Generalist large language models complement tailor-made predictors for tumor genomics interpretation

bioRxiv May 22, 2026
General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge, but whether LLMs can replace, or augment, task-specific models is unclear. We evaluated LLMs on three real-world, clinically important tumor genomic...
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De novo design of RNA pseudoknots with deep learning

bioRxiv May 22, 2026
RNA design has been hindered by the limited accuracy of 3D structure prediction. Here, we show that intricate RNA structures can be generated with current deep learning tools through accurate de novo design of pseudoknot secondary structures. In an E...
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A Competitive Framework for Modeling EEG Microstate Durations

bioRxiv May 22, 2026
Background. This study examines a competition based model (Cmodel) designed to capture the temporal dynamics of successive brain microstates derived from electroencephalography (EEG) recordings during eyes-open conditions. The analyzed data were obta...
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Robust Random Forests for Genomic Prediction: Challenges and Remedies

bioRxiv May 22, 2026
Data contamination, from recording errors to extreme outliers, can compromise statistical models by biasing predictions, inflating prediction errors, and, in severe cases, destabilizing performance in high-dimensional settings. Although contamination...
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Task-Parametrized Dynamics: Representation of Time and Decisions in Recurrent Neural Networks

bioRxiv May 22, 2026
How do recurrent neural networks (RNNs) internally represent elapsed time to initiate responses after learned delays? To address this question, we trained RNNs on delayed decision-making tasks with progressively increasing temporal demands, including...
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geneML: Gene annotation across diverse fungal species using deep learning

bioRxiv May 21, 2026
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and alternative splicing challenge existing ab initio methods. Here, we present geneML, a deep learning-based gene prediction tool tailored to fungal geno...
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Toward CT-based Tractography: Presurgical White Matter Tract Mapping in Intracerebral Hemorrhage

bioRxiv May 21, 2026
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (ICH) surgery, but it currently relies on tractography from diffusion MRI (dMRI), which has limited applicability in urgent or resource-constrained sett...
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Progeny differentiation in faba bean using hyperspectral images and machine learning

bioRxiv May 21, 2026
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diets shift towards more plant-based nutrition. To realise this potential, advances in breeding and cultivation are crucial. To exploit heterosis, faba be...
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BioRAG-DRAG: A Multimodal Biological Retrieval Layer for Local-First Biomedical Agents

bioRxiv May 21, 2026
Biomedical agents need reliable access to heterogeneous evidence: literature text, gene and pathway records, protein sequences, DNA/cDNA sequences, and structured biological relations. Classical sequence tools such as BLAST remain the right choice fo...
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