Artificial Intelligence Medical Compendium

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

Showing 14,111 to 14,120 of 211,462 articles

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence

bioRxiv May 21, 2026
Adolescence is an important developmental period during which there are diverse changes in the brain and behavior. Goal-directed behaviors and the component processes underlying those behaviors improve during adolescence, including working memory, re... read more 
neuroscience

Rhythmic temporal structure organizes recurrent dynamics to support sequential working memory

bioRxiv May 21, 2026
Rhythmic temporal structure improves working memory, but how this benefit emerges from recurrent dynamics remains unclear. Here, we trained excitatory-inhibitory recurrent neural networks with short-term synaptic plasticity to perform a sequential de... read more 
neuroscience

AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

bioRxiv May 21, 2026
{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in the production of lactose-free products. Among them, the BG from Aspergillus oryzae is of industrial relevance due to its activity at acidic pH and mo... read more 
synthetic biology

A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

bioRxiv May 21, 2026
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy combined with chemotherapy, targeted therapy, or immunotherapy. However, due to its anatomical and molecular heterogeneity, identifying the most effective... read more 
cancer biology

scDeepVariant: A population-informed deep learning framework for germline variant calling in scRNA-seq

bioRxiv May 21, 2026
Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution of cellular heterogeneity while also capturing information on germline genetic variation, but accurate variant calling remains limited by sparse coverage, allelic imbalance, and... read more 
bioinformatics

Generative Artificial Intelligence in Medical Education and Participatory Research for Social Action: A Human and AI Comparative Analysis

medRxiv May 21, 2026
Participatory qualitative methods such as Photovoice are increasingly used to link research with social action. Recent advances in artificial intelligence (AI) may enhance data analysis, inference, and action planning within such participatory approa... read more 
medical education

Artificial intelligence-driven precision medicine identifies prognostic WNT pathway alterations in AA colorectal cancer patients treated with FOLFOX

medRxiv May 21, 2026
Background: African Americans (AA) experience disproportionate burden of colorectal cancer (CRC). Dysregulation of the Wingless-related integration site (WNT) pathways contributes to tumor progression, yet their prognostic roles in FOLFOX-treated CRC... read more 
gastroenterology

Interpretable Symptom-Based Machine Learning for Parkinson's Disease Prediction: A Feasibility Study

medRxiv May 21, 2026
Background: Parkinson's disease (PD) has a prolonged prodromal phase during which non-motor symptoms (NMS) may emerge years before the appearance of classical motor signs. This makes NMS a promising and clinically accessible source of information for... read more 
neurology

Post-ED Trajectory Prediction in Abdominal Pain with a Generative Medical Event Model

medRxiv May 21, 2026
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, most resulting in discharge. Post-discharge courses vary, yet existing risk models predict only whether an ED revisit occurs, not what that revisit out... read more 
emergency medicine

Economic costing of evaluating, deploying and monitoring an artificial intelligence-based reconstruction for acceleration of rectal MRI examinations

medRxiv May 21, 2026
Objectives: AI-based reconstructions can reduce MRI acquisition times and/or improve image quality. Guidelines recommend clinical evaluations and post-deployment monitoring of these novel methods, however, there has been little investigation of the c... read more 
radiology and imaging
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