AIMC Journal:
bioRxiv

Showing 1281 to 1290 of 4956 articles

A Pan-Cancer Multi-Omic SuperLearner for Regulated Cell Death Survival Topologies

bioRxiv Jun 2, 2026
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune modulation. In prior work, we constructed a comprehensive database mapping 25 forms of RCD across seven multi-omic layers encompassing 33 tumor types ...
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Forecasting novel therapeutic development in biomedical research

bioRxiv Jun 1, 2026
Early identification of promising drug research topics is challenging yet crucial for the scientific community to accelerate the development of novel therapeutics. In this work, we leverage large-scale public data from the biomedical literature to ex...
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GeneKnow: AI-powered literature synthesis for gene-context analysis

bioRxiv Jun 1, 2026
Interpreting gene function in specific biological contexts is essential for biomedical research, yet manual literature review is labor-intensive. We developed GeneKnow, a source-grounded framework that uses generative AI models within a controlled hy...
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Decoding Cognitive States from fMRI Using Classical Machine Learning and Temporal Dynamics Analysis: An Interpretable Approach Using the Human Connectome Project

bioRxiv Jun 1, 2026
We propose a rigorous and reproducible methodology for analyzing functional MRI data, aimed at: (1) demonstrate their efficiency in classifying task-induced brain states with a limited amount of data, (2) present a methodology to identify brain regio...
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UMITIC: An unsupervised framework for the joint characterization of cellular phenotypes and spatial neighborhoods in multiplex and hyperplex immunofluorescence imaging data

bioRxiv Jun 1, 2026
Multiplexed imaging technologies enable the simultaneous measurement of dozens of protein markers while preserving context, providing a high-resolution view of tissue organization schemes. However, extracting meaningful insights from these high-dimen...
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AI-Guided Structure-Aware Modeling and Thermal Proteomics Reveal Direct Demethylzeylasteral-ACLY Interaction

bioRxiv Jun 1, 2026
Identifying the direct molecular targets of bioactive natural products remains a central challenge in chemical biology. Here we present an integrated experimental-computational framework, that combines matrix-augmented thermal proteomics with HoloGNN...
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A Foundation Model for the Cancer Genome

bioRxiv Jun 1, 2026
Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine tumour identity, clinical behaviour, and response to therapy. Consortium-scale sequencing has profiled hundreds of thousands of tumours, yet clinical ...
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Mesoscopic cortical activities associated with pupil-linked perceptions inferred via explainable machine learning

bioRxiv Jun 1, 2026
Pupil dilation reflects arousal-related neural processes and is closely linked to sensory perception, attention, and cognitive state, but the mesoscopic cortical dynamics that accompany stimulus-evoked dilation remain unclear. Here, we combined simul...
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Neural networks learn forward dynamics when freed from numerical integration

bioRxiv Jun 1, 2026
Seamless interaction between humans and machines requires interfaces that remain robust to the variability inherent in biological signals and physical environments. Advanced human-machine interfaces (HMIs) increasingly rely on machine learning to pre...
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Assessing and Optimizing Low-Frequency Somatic Mutation Detection: A Multi-Platform High-Throughput Sequencing Perspective

bioRxiv Jun 1, 2026
The availability of multiple commercial short-read sequencing platforms necessitates systematic cross-platform performance comparisons, particularly for challenging applications such as low-frequency somatic mutation detection. Here, a large-scale ta...
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