AIMC Journal:
bioRxiv

Showing 1081 to 1090 of 4938 articles

VrySure: A Multi-Task AI Scientific Fraud Detection Platform for Identifying Manipulated and AI-Generated Biomedical Research Images

bioRxiv Jun 15, 2026
Integrity of scientific data is critical in biomedical research, where images often serve as primary evidence for experimental observations and conclusions. Advances in image-editing technologies and generative artificial intelligence (AI) have incre...
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Equivariant neuronal populations enable simultaneous tuning and invariance

bioRxiv Jun 15, 2026
As we move through the world, we see the same visual scene from different perspectives. But how does the brain encode scene identity invariant to perspective, while remaining sensitive to these transformations? We propose a solution through equivaria...
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Large datasets and machine learning models fail to capture extremophile enzyme melting and optimum temperatures

bioRxiv Jun 15, 2026
Organisms and their enzymes adapt to environmental temperatures, such that thermophilic enzymes exhibit high melting and optimum temperatures while psychrophilic enzymes exhibit low values for both. It has been proposed that the gap between an enzyme...
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Inferring Cell Fate Trajectories in Time-Resolved Metabolic RNA Labeling data

bioRxiv Jun 15, 2026
Single-cell RNA sequencing provides high-resolution snapshots of cellular states but lacks direct information about transcriptional dynamics. Metabolic RNA labeling addresses this limitation by distinguishing newly synthesized RNA, offering insight i...
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TopoMIL: Topology Improves Multiple Instance Learning in Diagnostic Microscopic Images

bioRxiv Jun 14, 2026
Microscopic images of cells and tissues are central to disease diagnosis. In computational pathology, multiple instance learning (MIL) has emerged as a key paradigm for analyzing numerous images within a single patient sample. While the representativ...
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Robust integration of weakly anchored spatial multi-omics

bioRxiv Jun 14, 2026
Spatial multi-omics holds great promise for dissecting complex biological processes, though inherent technical constraints continue to limit its widespread adoption. Currently, most studies therefore measure distinct omics features on separate tissue...
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FENNEC: Fine-Tuned Ensemble Neural Networks Accelerate Chemically Modified siRNA Design and Screening

bioRxiv Jun 14, 2026
Small interfering RNAs (siRNAs) are a clinically validated therapeutic modality, yet designing potent chemically modified siRNAs remains a costly and iterative process, limited by scarce public data. Computational prediction of siRNA efficacy is ther...
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Generative design of antigen-specific T-cell receptor sequences with a conditional diffusion model

bioRxiv Jun 14, 2026
T cell receptor (TCR)-based immunotherapy holds immense potential for treating cancers and infectious diseases, where highly antigen-specific TCR recognition is crucial for adaptive immunity against tumors and pathogens. Engineering or de novo genera...
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Cellfm-datasets: A Unified Data Infrastructure for Single-Cell and Spatial Transcriptomics Foundation Model Pretraining

bioRxiv Jun 14, 2026
Large-scale cell foundation models are increasingly limited not only by model architecture, but also by the data infrastructure required to repeatedly sample sparse transcriptomic profiles from out-of-core cohorts. AnnData/H5AD has become a standard ...
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Systematic AI-Driven Drug Repurposing via Clinical Trial Data Mining: A Framework and Six Cross-Therapeutic Case Studies.

bioRxiv Jun 14, 2026
Drug repurposing, the application of approved or shelved compounds to new therapeutic indications, offers a cost- and time-efficient alternative to de novo drug discovery. However, the systematic identification of repurposing candidates from the rapi...
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