AIMC Journal:
bioRxiv

Showing 1631 to 1640 of 4956 articles

Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures

bioRxiv May 8, 2026
Dynamic transitions between cell states underlie both normal physiology and disease. However, most single-cell technologies capture only static snapshots. To address this gap, we developed a platform that integrates light-guided hydrogel polymerizati...
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Open-Rosalind: Tool-First Biomedical LLM Agents with Process-Aware Benchmarking

bioRxiv May 8, 2026
Large language models are increasingly used as scientific agents, yet the flexibility that benefits general-purpose agents can conflict with the accountability required in biomedical research. We study whether biomedical agents can be organized aroun...
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Structural bias in machine learning-guided peptide design

bioRxiv May 8, 2026
Machine learning continues to accelerate peptide and protein design through the rapid prediction and generation of sequences with desired characteristics. Many applications focus on predicting properties, functions, and structures, as well as generat...
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Benchmarking and behavioral characterization of LLM agents for protein design

bioRxiv May 8, 2026
Large language models (LLMs) are increasingly deployed as agents for scientific discovery, but standardized frameworks for evaluating their performance and behaviour in scientific workflows are lacking. Protein design provides a demanding test case b...
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Evolution imposes an inductive bias that alters and accelerates learning dynamics

bioRxiv May 7, 2026
The learning dynamics of biological brains and artificial neural networks are of interest to both neuroscience and machine learning. A key difference between them is that neural networks are often trained from a randomly initialized state whereas eac...
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Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

bioRxiv May 7, 2026
Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompasses numerous strains. Knowledge gaps remain in understanding the molecular mechanisms of pathogenesis of this bacterium, as well as the structure and ...
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Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-β Spread in Alzheimer's Disease

bioRxiv May 7, 2026
Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be a challenge. In this work, we expand upon the application of network diffusion models (NDM) to study pathophysiological spread of amyloid-{beta} throu...
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Machine Learning-Driven Multiplexed Biomarker Detection with Polymer-Enhanced Electrochemical Sensors

bioRxiv May 7, 2026
Biomarkers in sweat and saliva offer a promising avenue for non-invasive health monitoring. Electrochemical sensors have the potential to measure such biomarkers simultaneously. However, they are limited in discriminating individual biomarkers in mix...
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Classification of Smartphone Interaction Using Multimodal Physiological Signals with a Brain-Body Spatio-Temporal Transformer

bioRxiv May 7, 2026
Distinct smartphone interaction behaviors, like short-form video scrolling and mobile gaming, elicit qualitatively different cognitive and physiological responses. However, such distinctions is often overlooked by approaches that treat smartphone use...
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Metastatic Site Prediction in Breast Cancer using Kirchhoff's Law and Omics Knowledge Graph

bioRxiv May 7, 2026
Predicting the anatomical site of metastasis from a primary tumour remains an unsolved problem in breast cancer (BRCA) and metastatic disease more broadly. The difficulty is structural: metastatic biology is multi-site (bone, lung, liver, brain), mul...
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