Artificial Intelligence Medical Compendium

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

Showing 62,651 to 62,660 of 230,507 articles

Analyzing VLM-Based Approaches for Anomaly Classification and Segmentation

arXiv Jan 19, 2026
Vision-Language Models (VLMs), particularly CLIP, have revolutionized anomaly detection by enabling zero-shot and few-shot defect identification without extensive labeled datasets. By learning aligned representations of images and text, VLMs facilita... read more 
Computer Vision and Pattern Recognition

Generating Structurally Diverse Therapeutic Peptides with GFlowNet

bioRxiv Jan 19, 2026
Reinforcement learning approaches for therapeutic peptide generation suffer from mode collapse, converging to narrow regions of sequence space even when explicit diversity penalties are applied. Fine-grained analysis reveals persistent mode-seeking b... read more 
bioinformatics

High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design

bioRxiv Jan 19, 2026
Peptides, as therapeutic molecules, offer unique advantages in targeting complex protein surfaces, yet their rational design remains limited by the vastness of the sequence space and the constraints of traditional approaches. Here, we propose High-Pe... read more 
bioinformatics

dgiLIT: A Method for Prioritization and AI Curation of Drug-Gene Interactions

bioRxiv Jan 19, 2026
IMPORTANCE: The Drug-Gene Interaction Database (DGIdb) has a long history of driving hypothesis generation for biomedical research through the careful curation of drug-gene interaction data from primary and secondary sources with supporting literatur... read more 
bioinformatics

A predicted cancer dependency map for paralog pairs

bioRxiv Jan 19, 2026
Background Genome-wide CRISPR screening has enabled the development of dependency maps in hundreds of cancer cell lines, facilitating the identification of genetic vulnerabilities associated with specific biomarkers. Paralogs, despite being common dr... read more 
cancer biology

Accuracy of Artificial Intelligence-Based Models versus Traditional Scoring Systems (APACHE, SOFA, SAPS) for Predicting Mortality in ICU Patients: A Systematic Review and Meta-Analysis

medRxiv Jan 19, 2026
Introduction: Reliable estimation of mortality among critically ill patients is crucial for guiding clinical decisions and optimizing ICU performance. Traditional scoring systems such as APACHE, SOFA, and SAPS are commonly applied, though their predi... read more 
intensive care and critical care medicine

Using Artificial Intelligence to Assess Treatment-Effect Heterogeneity in Pragmatic Cardiovascular Trials: Insights from TRANSFORM-HF

medRxiv Jan 19, 2026
Background and Aims: Pragmatic clinical trials are designed to assess interventions in real-world settings, and their broad inclusion criteria and clinical variability create valuable opportunities for exploring heterogeneity of treatment effects. In... read more 
cardiovascular medicine

GEOGRAPHIC DOMAIN SHIFT PRECIPITATES DIVERGENT FAILURE MODES IN DEEP LEARNING BASED TUBERCULOSIS SCREENING: A MULTI-NATIONAL EXTERNAL VALIDATION STUDY

medRxiv Jan 19, 2026
Background: Deep learning algorithms for tuberculosis (TB) screening frequently achieve radiologist-level performance during internal evaluation, yet their reliability often degrades when deployed to populations differing from the training domain. Su... read more 
respiratory medicine

Pharmacogenomic Determinants of Post-Liver Transplant Diabetes Mellitus: A Systematic Review and In Silico Pharmacogenomic Analysis

medRxiv Jan 19, 2026
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index and pharmacokinetic variability are associated with increased risk of post-transplant diabetes mellitus (PTDM). While polymorphisms in metabolizing en... read more 
endocrinology

Leveraging NLP to Identify Domain-Specific Variables in Large-Scale Cohort Metadata: A Sleep Use Case

medRxiv Jan 19, 2026
Public health policies increasingly rely on the use of complex and large datasets containing heterogeneous, multimodal data that require advanced analytical methods to extract meaningful insights and support evidence-based decision-making. Essential ... read more 
health informatics
Popular Topics
Recent Journals