AI Medical Compendium

SOPE-MsL: Synergy-Optimized Protein Language Model Embeddings with Multiscale Learning for Interpretable Protein-Small-Molecule Binding-Site Prediction.

Journal of chemical information and modeling Feb 12, 2026

Protein-small-molecule interactions are fundamental to cellular regulation and represent critical targets for therapeutic intervention. Accurate identification of binding residues is essential for elucidating molecular recognition mechanisms and guid... read more

Foundation models in radiology: a primer for pediatric radiologists.

Pediatric radiology Feb 12, 2026

Foundation models (FMs) are large deep learning models pre-trained on vast heterogeneous datasets through self-supervised learning that are adaptable to diverse downstream tasks with minimal fine-tuning. In pediatric radiology, where data scarcity, r... read more

[Sudden cardiac death in structural heart disease : Update on prevention].

Herz Feb 12, 2026

Sudden cardiac death (SCD) remains one of the leading causes of death despite major advances in cardiovascular diagnostics and treatment. Evidence supporting primary prophylactic implantable cardioverter defibrillator (ICD) implantation is still deri... read more

Simplifying radiology reports with large language models: privacy-compliant open- versus closed-weight models.

European radiology Feb 12, 2026

OBJECTIVES: Large language models (LLMs) like generative pre-trained transformer (GPT) can simplify radiology reports for medical laypersons, but privacy concerns limit their clinical applicability. This study compares closed-weight and in-hospital d... read more

Association of Circulating T Cell and Tumor Microenvironment Profiles with Immune Checkpoint Blockade Outcome in Sarcoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Feb 12, 2026

PURPOSE: Immune checkpoint blockade (ICB) benefits only a subset of sarcoma patients. Biomarkers of response and resistance are needed to help guide patient selection. PATIENTS AND METHODS: We analyzed peripheral blood and tumor samples from sarcoma ... read more

Clinical Applications of Data Science and Machine Learning in the Pediatric Cardiac Intensive Care Unit.

Pediatric cardiology Feb 12, 2026

To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac intensive care, focusing on algorithm performance, validation rigor, and readiness for clinical decision-support integration. Scoping review of studies a... read more

Predicting health-related quality of life two years post-diagnosis across seven cancer types: using machine learning to identify vulnerable patients.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation Feb 12, 2026

PURPOSE: Cancer survivors often experience long-term consequences affecting their Health-Related Quality of Life (HRQoL). Sociodemographic factors, clinical characteristics, and health-related behaviours influence HRQoL, making some individuals vulne... read more

A survey on optimization and machine learning-based fair decision making in healthcare.

Health care management science Feb 12, 2026

Identification of mitochondrial associated genes as diagnostic biomarkers for basal cell carcinoma: Comprehensive bioinformatics analysis and experimental validation.

Glycoconjugate journal Feb 12, 2026

PBP_ICBA: a prediction of bacterial promoters in specific organisms using an improved convolutional block attention module.

Journal of computer-aided molecular design Feb 12, 2026

Artificial Intelligence Medical Compendium