Artificial Intelligence Medical Compendium

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

Showing 47,991 to 48,000 of 224,199 articles

Dynamic, single-cell monitoring of CAR T cell identity and activation with Raman spectroscopy

bioRxiv Feb 23, 2026
Chimeric antigen receptor (CAR) T cell therapies have reshaped treatment for cancers and immune-mediated diseases, yet their safety and efficacy depend on both the proliferation of engineered cells and their dynamic functional state - features that r... read more 
bioengineering

Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria

bioRxiv Feb 23, 2026
Tuberculosis (TB) is the worldwide leading infectious killer due to a single pathogen and increasing antimicrobial resistance (AMR) makes it imperative to discover and develop new drugs with novel modes of action (MoAs) to treat TB infections. Phenot... read more 
microbiology

Leveraging Large Language Models to Extract Prognostic Pathology Features in Ewing Sarcoma

bioRxiv Feb 22, 2026
Background: Current risk stratification for Ewing sarcoma relies heavily on clinical factors such as metastatic status, failing to capture histologic heterogeneity as a potential prognostic indicator. Although pathology reports contain rich biologica... read more 
bioinformatics

Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP

bioRxiv Feb 22, 2026
Understanding spatial organization of cells is critical for deciphering tissue function and disease. Single-cell RNA-sequencing (scRNA-seq) profiles transcriptomes at scale but loses spatial context, while spatial transcriptomics (ST) preserves spati... read more 
genomics

Automated epilepsy and seizure type phenotyping with pre-trained language models

medRxiv Feb 22, 2026
Background Epilepsy is a common neurologic disorder characterized by recurrent, unprovoked seizures. Epilepsy manifests as different seizure types and epilepsy types, which have important implications for treatment and prognosis. Electronic health re... read more 
neurology

Prompting is All You Need: How to Make LLMs More Helpful for Clinical Decision Support

medRxiv Feb 22, 2026
Importance: Large language models (LLMs) offer potential decision support, but their accuracy varies. Prompt engineering can generally enhance LLM behavior in a clinical context, yet best practices have yet to be formally explored in realistic clinic... read more 
neurology

High-Performance Classification of Mpox Symptoms Using Support Vector Classifier and Quadratic Discriminant Analysis

medRxiv Feb 22, 2026
Background: Recent global outbreaks of Mpox have posed significant diagnostic challenges, particularly in resource-limited settings. Conventional diagnostic methods are often inaccessible due to cost, logistical constraints, or lack of trained person... read more 
infectious diseases

AI-Detected Asymptomatic Atrial Fibrillation and Risk of Incident Ischemic Stroke and Cardiovascular Events: A UK Biobank Study

medRxiv Feb 22, 2026
Background: Advances in wearable devices and machine-learning-based ECG analysis enable highly accurate detection of atrial fibrillation (AF) outside traditional clinical settings, leading to increasing identification of asymptomatic AF. However, the... read more 
cardiovascular medicine

Survival risk heterogeneity among patients with NSCLC receiving nivolumab visualized by risk scores generated from deep learning method DeepSurv using tumor gene mutations

medRxiv Feb 22, 2026
Immunotherapy with immune checkpoint inhibitors and immunotherapy combined with chemotherapy have represented promising treatments for NSCLC patients leading to prolonged survival. However, the majority of patients with advanced NSCLC have a poor pro... read more 
oncology

Learning lifetime disease liability reveals and removes genetic confounding in electronic health records

medRxiv Feb 22, 2026
Electronic health records (EHRs) have become the cornerstone of population-scale genetic studies1, but factors including patterns of healthcare use shape which and how diagnoses are recorded, leading to confounding effects in genetic associations wit... read more 
genetic and genomic medicine
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