Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 21,691 to 21,700 of 216,627 articles

TopoFuseNet: Hierarchical Graph Representation Learning with Multi-Scale Topological Features for Accurate Drug Synergy Prediction

bioRxiv May 8, 2026
Accurate prediction of drug synergy is paramount for developing effective combination therapies and advancing personalized medicine. Although methods based on graph neural networks (GNNs) have become a prevalent approach, they often treat molecules a... read more 
bioinformatics

BRIDGE: A Multi-organ Histo-ST Foundation Model Enables Virtual Spatial Transcriptomics for Enhanced Few-shot Cancer Diagnosis

bioRxiv May 8, 2026
Recent studies have explored generating virtual spatial transcriptomics (ST) profiles from histological images, offering a promising alternative to laboratory-measured molecular profiling. However, existing approaches predominantly rely on single-org... read more 
genomics

STARMAP: A 3D-informed framework for mapping functional regions in proteins to regulatory and cellular phenotypes

bioRxiv May 8, 2026
Artificial Intelligence (AI) has transformed biology by revealing patterns in large-scale datasets and predicting regulatory relationships. Yet even the most advanced models often fail to identify biologically meaningful mechanisms from statistical a... read more 
genomics

Weak supervision of H&E slides reveals systems-level biology and functional states that govern therapeutic resistance

bioRxiv May 8, 2026
Precision oncology lacks scalable tools to assess, at the patient level, systems-level tumor microenvironment (TME) programs driving therapeutic resistance. To address this gap, we trained a weakly-supervised deep learning model that uses routine H&E... read more 
biophysics

A brain-inspired framework for memory prioritization in neural networks based on valence

bioRxiv May 8, 2026
Improving long-term memory in artificial neural networks remains an open challenge. To address this, we developed a novel brain-inspired framework for memory prioritization based on the principle of emotional valence. Our framework includes: (i) a va... read more 
neuroscience

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... read more 
systems biology

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... read more 
bioinformatics

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... read more 
bioinformatics

QuadStack: Specialized convolutional blocks enable in vivo BG4-binding motif prediction and highlight discrepancies with in vitro G-quadruplexes.

bioRxiv May 8, 2026
G-quadruplex (G4) prediction has been largely guided by in vitro biophysical rules, yet these models show limited agreement with in vivo measurements. Here, we present QuadStack, a deep learning model trained on a multi study BG4-ChIP-seq compendium.... read more 
bioinformatics

Integration of Deep-Learning and Species Distribution Models for Classification of Animal Species of the Brazilian Fauna

bioRxiv May 8, 2026
The automated classification of animals from photos is important in ecology and conservation biology for organizing and understanding the immense diversity of species, as well as facilitating effective conservation and management practices. It is equ... read more 
ecology
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