AIMC Journal:
bioRxiv

Showing 2341 to 2350 of 4979 articles

TMS timed to interictal epileptiform discharges

bioRxiv Feb 18, 2026
Interictal epileptiform discharges (IEDs) are pathological hypersynchronous bursts of electrical brain activity that occur between seizures in patients with epilepsy. IEDs are caused by transient brain states that are difficult to predict, making the...
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Influence of molecular representation and charge on protein-ligand structural predictions by popular co-folding methods

bioRxiv Feb 18, 2026
Recently developed deep learning-based tools can effectively generate structural models of complexes of proteins and non-proteinaceous compounds. While some of their predictive capabilities are truly exciting, others remain to be thoroughly tested. H...
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KG-Orchestra: An Open-Source Multi-Agent Framework for Evidence-Based Biomedical Knowledge Graphs Enrichment.

bioRxiv Feb 18, 2026
Biomedical Knowledge Graphs (BKGs) offer integrative representations of complex biology, yet their utility is compromised by the limitations of current construction methods: manual curation offers high fidelity but is unscalable, whereas purely autom...
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MGIDI selection and machine learning reveal harvest index driving traits in sodium azide-induced rice mutants with SSR-based genetic diversity

bioRxiv Feb 18, 2026
Sodium azide mutagenesis offers a powerful approach to generate genetic diversity for rice improvement, yet comprehensive characterization of mutant populations using integrated modern breeding tools remains limited. M3 mutants of BRRI dhan28-induced...
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Anatolution, an online platform for consensus morphology

bioRxiv Feb 18, 2026
Introduction: Supervised statistical learning for cell-level segmentation and morphometry in optical microscopy is limited less by algorithmic capacity than by the scarcity of reliable, expert-validated ground truth. In comparative neuroscience and q...
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CLM-X: A multimodal single-cell foundation model with flexible multi-way Transformer for unified scRNA-seq and scATAC-seq analysis

bioRxiv Feb 18, 2026
Advances in single-cell multimodal profiling have enabled a more systematic analysis of cellular biology, yet the rapid accumulation of large-scale, heterogeneous datasets poses substantial challenges for integrative analysis. Recently, Transformer-b...
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Multi-modal tissue-aware graph neural network for in silico genetic discovery

bioRxiv Feb 18, 2026
Understanding how perturbations influence gene function in a tissue-specific manner is key to uncovering novel drug targets. However, current computational approaches emphasize global network or sequence-derived features over context-driven dependenc...
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A NOVEL DEEP LEARNING MODEL, RDBCYCYLEGAN-CBAM FOR LOW-DOSE CT IMAGE DENOISING

bioRxiv Feb 18, 2026
Computed Tomography (CT) is one of the largest contributors to radiation exposure from medical imaging, which can induce DNA damage and increase cancer risk. Reducing CT radiation dose to improve patient safety inherently increases image noise and ar...
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Resolving Genome-to-Phenotype Links in Bacteria: Machine-Learned Inference from Downsampled k-mer Representations

bioRxiv Feb 18, 2026
Standard approaches to bacterial phenotyping often treat the entire genome as the fundamental unit of information, resulting in high-dimensional inputs that may contain significant redundancy. Consequently, current bacterial phenotyping techniques ty...
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Focused ultrasound neuromodulation of mediodorsal thalamus disrupts decision flexibility during reward learning

bioRxiv Feb 17, 2026
When learning to find the most beneficial course of action, the prefrontal cortex guides decisions by comparing estimates of the relative value of the options available. Basic neuroscience studies in animals support the view that the thalamus can reg...
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