AIMC Journal:
bioRxiv

Showing 2901 to 2910 of 4993 articles

Post-operative tissue fragment puzzling using histopathological vision transformer alignment HiViTAlign

bioRxiv Jan 1, 2025
In pathology, reconstructing adjacent tissue parts enables an overview of the macro environment of objects like tumors. Especially, malignoma are of interest to verify invasion and resection margins, as patients with positive margins face a higher mo...
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Microenvironmental information significantly improves the recognition of cell types in human lung cancer patients

bioRxiv Jan 1, 2025
Accurate single-cell phenotypic classification in histopathological tissue sections is essential for understanding tumor behavior, identifying potential therapeutic targets, and improving prognostic assessments in cancer research. In this study, we a...
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Pixel-Precise Lesion Localization in WSIs via Weakly Supervised Streaming Convolution with ReLSE and Adaptive Self-Training

bioRxiv Jan 1, 2025
A robust artificial intelligence-assisted workflow for tumor assessment in pathology requires not only accurate classification but also precise lesion localization. While current weakly supervised learning methods significantly reduce the need for ex...
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snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

bioRxiv Jan 1, 2025
Single cell multi-omic investigation opens-up new opportunities to understand mechanisms of gene regulation. Existing methods for inferring transcript abundance from chromatin accessibility fail to prioritize the most relevant peaks and tend to assum...
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Cortico-striatal dynamics across working memory stages

bioRxiv Jan 1, 2025
Working memory depends on the temporary retention and manipulation of information, bridging the gap between short-term memory and information processing functions. Working memory relies on the temporary retention and manipulation of information, brid...
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Language models learn to represent antigenic properties of human influenza A(H3) virus

bioRxiv Jan 1, 2025
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess the antigenic properties of newly emerging variants continuously. With the increasing application of r...
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Accurate Protein-Protein Interactions Modeling through Physics-informed Geometric Invariant Learning

bioRxiv Jan 1, 2025
AlphaFold has set a new standard for predicting protein structures from primary sequences; however, it faces challenges with protein complexes across species, engineered proteins, and antigen-antibody, where co-evolutionary signals may be sparse or m...
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AI Discovery of Mechanisms of Consciousness, Its Disorders, and Their Treatment

bioRxiv Jan 1, 2025
Understanding disorders of consciousness (DOC) remains one of the most challenging problems in neuroscience, hindered by the lack of experimental models for probing mechanisms or testing interventions [1]. To address this, we introduce a generative a...
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SHARP: Generating Synthesizable Molecules via Fragment-based Hierarchical Action-space Reinforcement Learning for Pareto Optimization

bioRxiv Jan 1, 2025
Designing drug-like molecules that satisfy multiple objectives—such as high binding affinity, synthesizability, and drug-likeness—poses a complex global optimization problem over an astronomically large chemical space. Existing deep learning-based mo...
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Intrinsic plasticity underlies malleability of neural network heterogeneity

bioRxiv Jan 1, 2025
Diversity exists throughout biology, playing an important role in maintaining robustness and stability. The same is true of the brain, as has become increasingly apparent in recent years with the accumulation of datasets of unparalleled resolution. T...
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