Artificial Intelligence Medical Compendium

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

Showing 22,811 to 22,820 of 216,842 articles

LNGCN: A Distance-Aware Dynamics Network for Protein-Protein Interaction Prediction

bioRxiv May 4, 2026
High-throughput accurate protein-protein interaction (PPI) prediction is foundational to systems-level biological understanding, disease mechanism dissection, and structure-based drug discovery. Traditional graph convolutional networks (GCNs) are lim... read more 
bioinformatics

DoFormer: Causal Transformer for Gene Perturbation

bioRxiv May 4, 2026
Learning causal gene regulatory mechanisms from single-cell data, and thereby predicting the effects of unseen perturbations, remains challenging. Observational RNA-seq data alone is insufficient for causal modeling, whereas perturbational data is es... read more 
bioinformatics

Polysemanticity in human hippocampal neurons

bioRxiv May 4, 2026
To comprehend language, the brain must navigate a high-dimensional semantic landscape while seamlessly contextualizing meaning. Inspired by recent advances in the mechanistic interpretability of large language models (LLMs), we hypothesized that the ... read more 
neuroscience

Whole-body 3D kinematics of freely behaving Drosophila

bioRxiv May 4, 2026
Understanding how nervous systems generate coordinated movement requires precise measurement of body kinematics during natural behavior. The fruit fly, Drosophila, is a model organism with sophisticated behavior and well-studied neural circuits, but ... read more 
neuroscience

AI-guided discovery of atypical protein assemblies

bioRxiv May 4, 2026
Artificial intelligence (AI) systems such as AlphaFold have transformed structural biology by enabling accurate prediction of protein structures. However, their capacity to uncover new classes of macromolecular assemblies remains largely untapped. We... read more 
bioinformatics

An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks

bioRxiv May 4, 2026
Neuronal shape determines how neurons process and integrate information, yet a consistent and objective classi cation of neuronal morphologies remains elusive. Current approaches rely heavily on subjective expert views or on prede ned features, limit... read more 
neuroscience

Improving Model Safety by Targeted Error Correction

arXiv May 4, 2026
The widespread adoption of machine learning in critical applications demands techniques to mitigate high-consequence errors. Our method utilizes a dual-classifier GBDT pipeline to distinguish routine human-like errors from high-risk non-human misclas... read more 
Artificial Intelligence cs.CV

Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability

arXiv May 4, 2026
Chemotherapy dose optimization can be formulated as a dynamic treatment regime, requiring sequential decisions under uncertainty that must balance tumor suppression against toxicity. However, most reinforcement learning approaches assume full observa... read more 
Machine Learning cs.AI

Automated In-the-Wild Data Collection for Continual AI Generated Image Detection

arXiv May 4, 2026
The rapid advancement of generative Artificial Intelligence (AI) has introduced significant challenges for reliable AI-generated image detection. Existing detectors often suffer from performance degradation under distribution shifts and when encounte... read more 
Computer Vision and Pattern Recognition

Stylistic Attribute Control in Latent Diffusion Models

arXiv May 4, 2026
Text-to-image diffusion models have revolutionized image synthesis and editing, but precise control over stylistic attributes remains a challenge, often causing unintended content modifications. We propose an approach for fine-grained parametric cont... read more 
Computer Vision and Pattern Recognition
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