AIMC Journal:
bioRxiv

Showing 2601 to 2610 of 4979 articles

Breast cancer radiogenomics analysis via computational perturbation on AI-driven multi-omics guided image synthesis

bioRxiv Jan 29, 2026
Radiogenomics offers a promising non-invasive approach for characterizing breast cancer (BC), yet its progress is often limited by the scarcity of cohorts containing matched imaging and multi-omics data. Recent advances in generative AI have enabled ...
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De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

bioRxiv Jan 29, 2026
Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infants, the elderly, and the immunocompromised. Although stabilized full-length pre-fusion (pre-F) protein vaccines are promising, enhanced respiratory d...
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Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain

bioRxiv Jan 29, 2026
Spatial and activity-dependent gene regulation in the mammalian brain requires coordinated control of RNA synthesis and degradation, yet spatially resolved measurement of RNA turnover kinetics in complex tissues remains technically challenging. Here,...
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Functional In-Context Learning in Genomic Language Models with Nucleotide-Level Supervision and Genome Compression

bioRxiv Jan 29, 2026
Genomic foundation models aim to learn general-purpose representations directly from DNA sequence, enabling sequence understanding, generation, and probabilistic reasoning across a wide range of biological tasks. Scaling such models to genomic length...
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A human-in-the-loop explanation framework for morphologically transparent AI predictions from whole-slide images

bioRxiv Jan 29, 2026
Deep learning models enable the prediction of clinical endpoints from whole-slide images (WSIs), but many such models function as "black boxes", lacking transparency about whether and which histomorphological patterns drive their predictions, hinderi...
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Gene-centered representation of coding and regulatory variation enables outcome prediction

bioRxiv Jan 29, 2026
Integrating coding and regulatory variation into unified, interpretable representations remains a challenge in functional genomics. Current approaches either focus on common variants or analyze individual variants in isolation, missing the cumulative...
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Noninvasive and Objective Near Real-Time Detection of Pain Changes in Fluctuating Pain

bioRxiv Jan 28, 2026
Chronic pain involves natural intensity fluctuations that patients cannot control, contributing to learned helplessness and functional impairment. Detecting spontaneous pain decreases could enable precisely timed interventions that enhance perceived ...
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BULLKpy: An AnnData-Inspired Unified Framework for Comprehensive Bulk OMICs Analysis

bioRxiv Jan 28, 2026
Bulk OMICs data, such as RNA-seq and proteomics, remain foundational in biomedical and cancer research. While single-cell transcriptomics has revolutionized our understanding of cellular heterogeneity, bulk OMICs continue to provide unique advantages...
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Does charging for corrections in the bioscience literature disincentivize pre-publication handling of problematic image data? An ImageTwin-AI study.

bioRxiv Jan 28, 2026
The Committee on Publication Ethics (COPE) recommends that publishers do not charge for corrections to published papers. Until late 2024 the Journal of Cancer levied a charge on authors (50% of the original article processing charge, APC) for publica...
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Machine Learning Method for Optimizing Coding Sequences in Mammalian Cells

bioRxiv Jan 28, 2026
Mammalian cell lines are the preferred hosts for producing commercially relevant therapeutic proteins such as antibodies, multispecifics, and cytokine fusion proteins. Even though significant investment is made to optimize upstream and downstream pro...
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