Artificial Intelligence Medical Compendium

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

Showing 40,841 to 40,850 of 223,737 articles

Artificial Intelligence for Automated, Highly Accurate, and Scalable Multimodal EHR Data Abstraction

medRxiv Mar 17, 2026
Electronic health records (EHRs) contain rich multimodal data but remain underutilized for populating clinical registries due to the time and cost of manual abstraction. We developed an AI driven pipeline to automate data abstraction for variables in... read more 
health informatics

Identification of compounds that repress DUX4 expression in facioscapulohumeral muscular dystrophy

bioRxiv Mar 17, 2026
Facioscapulohumeral muscular dystrophy (FSHD) is caused by epigenetic dysregulation of the disease locus, leading to pathogenic misexpression of DUX4 in skeletal muscle. Thus, most FSHD therapeutic approaches target DUX4. Our previous study identifie... read more 
pharmacology and toxicology

Calcium transient detection and segmentation with the astronomically motivated algorithm for background estimation and transient segmentation (Astro-BEATS)

bioRxiv Mar 17, 2026
Fluorescence-based calcium-imaging is a powerful tool for studying localized neuronal activity, including miniature Synaptic Calcium Transients, providing real-time insights into synaptic activity. These transients induce only subtle changes in the f... read more 
bioinformatics

AI for Fisheries Science: Neural Network Tools for Forecasting, Spatial Standardization, and Policy Optimization

bioRxiv Mar 17, 2026
The development of Artificial Intelligence (AI) presents novel opportunities for tackling complex marine resource management challenges. Among AI models, neural networks are a powerful class of tools capable of learning nonlocal and lagged patterns f... read more 
ecology

Glydentify: An explainable deep learning platform for glycosyltransferase donor substrate prediction

bioRxiv Mar 17, 2026
Glycosyltransferases (GTs) are a large family of enzymes that catalyze the formation of glycosidic linkages between chemically diverse donor and acceptor molecules to regulate diverse cellular processes across all domains of life. Despite their impor... read more 
bioinformatics

Multimodal Molecular Mapping of the Vasculature in Human Cortex Reveals Lipid Markers of Cerebral Amyloid Angiopathy

bioRxiv Mar 17, 2026
Cerebral amyloid angiopathy (CAA) commonly co-occurs with Alzheimer's disease (AD), yet the molecular changes that accompany vascular beta-amyloid deposition in human tissue remain incompletely defined. Herein, we use a novel imaging approach that co... read more 
neuroscience

A novel framework for expanding RNNs with biophysical detail to solve cognitive tasks

bioRxiv Mar 17, 2026
Recurrent neural networks (RNNs) have proven to be highly successful in emulating human-like cognitive functions such as working memory. In recent years, RNNs are evolving to incorporate more biophysical realism to produce more plausible predictions ... read more 
neuroscience

Integrated Artificial Intelligence and Quantum Chemistry Approach for the Rational Design of Novel Antibacterial Agents against Ralstonia solanacearum.

bioRxiv Mar 17, 2026
Antimicrobial resistance (AMR) in plant pathogenic bacteria poses a serious threat to global agriculture, necessitating the development of novel antibacterial agents targeting virulence mechanisms. This study presents an integrated bioinformatics-dri... read more 
bioinformatics

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer

bioRxiv Mar 17, 2026
Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretable biomarke... read more 
cancer biology

Single-Pass Discrete Diffusion Predicts High-Affinity Peptide Binders at >1,000 Sequences per Second across 150 Receptor Targets

bioRxiv Mar 17, 2026
De novo peptide design methods traditionally couple generation to 3D structure prediction, limiting throughput to seconds or hours per candidate. Here we present LigandForge, a discrete diffusion model that generates binding peptide sequences in a si... read more 
bioinformatics
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