Artificial Intelligence Medical Compendium

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

Showing 50,661 to 50,670 of 225,062 articles

CASTLE: Cell-type Aware SpaTial domain detection via contrastive Learning Embedding

bioRxiv Feb 13, 2026
With advances in spatially resolved transcriptomics across platforms and resolutions, it is now possible to measure gene-expression profiles while preserving the tissue microenvironment. Spatial clustering is central to these analyses, and recent gra... read more 
bioinformatics

Benchmarking Machine Learning and Automated Image Analysis for Organelle Quantification

bioRxiv Feb 13, 2026
Quantitative organelle analysis is highly sensitive to image-processing choices, limiting reproducibility across microscopy studies. Here, we systematically compare automated, interactive machine learning, and deep learning based pipelines for lipid ... read more 
cell biology

The scaffolding of individual variability in language processing by domain-general neural networks

bioRxiv Feb 13, 2026
Language processing is supported by distributed neural systems. Yet most research examines these systems at the population-average level, obscuring how individual cognitive differences shape language-related brain activity. In this study, we combined... read more 
neuroscience

Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures

bioRxiv Feb 13, 2026
Multiplexed protein imaging enables spatially resolved analysis of molecular organization in tissues, but existing spatial proteomics platforms remain constrained in scalability, throughput, and integration with RNA measurements and interpretable com... read more 
systems biology

Stimulus-Driven Thermodynamic Shifts and Geometric Reorganization in Mouse Primary Visual Cortex

bioRxiv Feb 13, 2026
Efficient coding is essential for sensory systems to extract meaningful information from the environment. Here, we investigate how stimulus-driven thermodynamic shifts and geometric reorganization enable efficient population coding. Using wide-field ... read more 
neuroscience

Automating classification of treatment responses to combined targeted therapy and immunotherapy in HCC.

Journal of molecular cell biology Feb 13, 2026
Tyrosine kinase inhibitor (TKI) combined with immunotherapy regimens are now widely used for treating advanced hepatocellular carcinoma (HCC), but their clinical efficacy is limited to a subset of patients. Considering that the vast majority of advan... read more 

Development of a Predictive Calculator for the Need for Abdominoperineal Resection after Chemoradiation Therapy in Anal Squamous Cell Carcinoma.

Journal of the American College of Surgeons Feb 13, 2026
BACKGROUND: Chemoradiation therapy (CRT) is standard treatment for anal squamous cell carcinoma (ASCC). Abdominoperineal resection (APR) is usually reserved for patients who are unresponsive to CRT or who have local recurrence. We aimed to identify p... read more 

Development, Validation, and Comparison of Machine Learning Models for Predicting Pediatric Surgical Site Infections Using the NSQIP-P Database.

Journal of the American College of Surgeons Feb 13, 2026
BACKGROUND: Surgical site infections (SSIs) cause substantial postoperative morbidity in children. Despite being largely preventable, SSI rates have continued to rise. Existing SSI predictive models are predominantly designed for adults. This study a... read more 

Long-Term Follow-Up in Liver Transplantation and Combined Cardiac Surgery: Validation and Refinement of the LT+CS Risk Score Using Advanced Machine Learning.

Journal of the American College of Surgeons Feb 13, 2026
BACKGROUND: Combined liver transplantation (LT) and cardiac surgery (LT+CS) is a therapeutic option for patients with end-stage liver disease (ESLD) and severe cardiac dysfunction. Despite its potential, evidence on long-term outcomes and prognostic ... read more 

Computational modeling and optimization of scFv-based receptors to support CAR-T design targeting CD19 for enhanced binding robustness and reduced off-target propensity.

Biochemical and biophysical research communications Feb 13, 2026
Chimeric Antigen Receptor T-cell (CAR-T) therapy has revolutionized the treatment of B-cell malignancies, with CD19 being a primary target due to its stable expression in lymphomas. However, current CAR-T therapies face challenges related to antigen ... read more 
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