AIMC Journal:
bioRxiv

Showing 2171 to 2180 of 4956 articles

An autonomous system for multi-objective continuous evolution at scale

bioRxiv Mar 3, 2026
Natural evolution is high-dimensional; organisms adapt to many pressures at once, across substrates, environments, and genetic backgrounds. Yet most directed evolution methods flatten this landscape to a single selection axis, hiding tradeoffs, and l...
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Towards Cross-Sample Alignment for Multi-Modal Representation Learning in Spatial Transcriptomics

bioRxiv Mar 3, 2026
The growing number of spatial transcriptomics (ST) datasets enables comprehensive multi-modal characterization of cell types across diverse biological and clinical contexts. However, integration across patient cohorts remains challenging, as local mi...
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A comprehensive benchmark of publicly available image foundation models for their usability to predict gene expression from whole slide images

bioRxiv Mar 3, 2026
Recent advances in large-scale self-supervised learning have led to the emergence of foundation models capable of extracting transferable visual representations from high-dimensional image data. In computational pathology, such models are increasingl...
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An Integrated Computational Antigen Discovery Pipeline with Hierarchical Filtering for Emerging Viral Variants

bioRxiv Mar 3, 2026
Emerging and evolving viral diseases, such as SARS-CoV-2, continue to pose significant global health challenges, underscoring the urgent need for rapid and scalable antigen discovery pipelines. This work presents a computational pipeline that integra...
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Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition

bioRxiv Mar 3, 2026
Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. W...
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Autoencoders for unsupervised analysis of rat myeloarchitecture

bioRxiv Mar 3, 2026
Quantitative assessment of brain histology is often constrained by predefined feature sets and labor-intensive manual annotations. To overcome these limitations, we employed unsupervised deep learning to automatically extract and quantify tissue orga...
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Upcycling Polyethylene into Poly(3-hydroxybutyrate) via a Chemo-Enzymatic-Microbial Cascade

bioRxiv Mar 2, 2026
Polyethylene (PE) plastics are extensively utilized across agricultural, industrial, and medical sectors owing to their favorable physicochemical properties. However, their chemical stability and escalating production have resulted in severe waste ac...
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Frequency-dependent diffusion tensor distribution imaging in the evaluation of ischemic stroke

bioRxiv Mar 2, 2026
Non-invasive MRI is widely used to assess and monitor ischemic stroke, yet conventional approaches often lack sensitivity to subtle microstructural changes and struggle to evaluate tissue viability across lesion, penumbra, and distal regions. In this...
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Improved Classification of Acute Physical Fatigue Using Salivary Proteomic Biomarkers: An Exploratory Study

bioRxiv Mar 2, 2026
Introduction: Physical fatigue is a key determinant of operational readiness in the physically demanding occupations of tactical athletes. Specific hormonal, immune, and enzymatic biomarkers have been proposed for fatigue assessment, but their reliab...
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Sparse Autoencoders Reveal Interpretable Features in Single-Cell Foundation Models

bioRxiv Mar 2, 2026
Single-cell foundation models (scFMs) hold promise for applications in cell type annotation, data integration, and prediction of the effects of cell perturbations, but their internal mechanisms remain poorly understood. We investigate the structure o...
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