Artificial Intelligence Medical Compendium

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

Showing 28,901 to 28,910 of 219,647 articles

Generalizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity.

Journal of cheminformatics
BACKGROUND: Proteins regulate diverse biological processes through interactions with other molecules, including RNAs. RNA-binding proteins (RBPs) are essential regulators of gene expression, forming specific mRNA-protein interactions (mRPIs) that inf... read more 

Predictive machine learning models for rational permeability design in de novo macrocycle engineering: a review.

Journal of cheminformatics
Small molecule drug discovery has been highly successful across many therapeutic areas over decades of progress; however, many disease-relevant proteins remain difficult to target. In particular, intracellular proteins with large, shallow, or flexibl... read more 

Gut microbiome and metabolic health: mechanisms and precision interventions.

Gut microbes
The gut microbiome is increasingly recognized as a fundamental regulator of metabolic health, shaping energy balance, insulin sensitivity, inflammatory tone, and inter-organ communication through a broad spectrum of microbial metabolites that engage ... read more 

Prognostic Utility of Systemic Immune-Inflammation Markers in Locally Advanced Cervical Cancer Undergoing Radical Radiotherapy.

The oncologist
PURPOSE: To improve survival prediction in locally advanced cervical cancer (LACC) post-radiotherapy, we developed and compared a nomogram and machine learning (ML) models using immune-inflammatory markers. MATERIAL AND METHODS: Clinical data from pa... read more 

Flexible and Thermally Regulable High-Temperature Sensing Electronics.

Nano letters
Emulating flexible sensing in integrated systems operating under high-temperature environments is challenging due to the degraded stability of flexible materials and interfaces at increased temperatures. Here, we propose a strategy to design and cons... read more 

Leveraging machine learning for selective cannabinoid ligand discovery: methods, challenges, and opportunities.

Expert opinion on drug discovery
INTRODUCTION: Selective modulation of cannabinoid receptors, particularly achieving CB2 selectivity over CB1, represents a promising strategy for developing safer therapeutics with reduced psychotropic effects. This review examines how machine learni... read more 

Artificial Intelligence in Endodontics-A Bibliometric Analysis.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc
This study aims to map and evaluate research trends in artificial intelligence applied to endodontics using bibliometric methods. A comprehensive literature search was conducted in PubMed, EMBASE, and Scopus in April 2025 to identify studies addressi... read more 

Life-Cycle-Integrated Molecular Design of Hindered Phenylene Biacetal Epoxies for Practical Recyclable Composite Applications.

Angewandte Chemie (International ed. in English)
Carbon-fiber reinforced polymer (CFRP) composites are central to lightweight wind-energy infrastructure but suffer from poor end-of-life circularity due to permanent epoxy thermoset matrices. Here we present a life-cycle-integrated molecular design s... read more 

n-Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz.

Advanced materials (Deerfield Beach, Fla.)
As advancements in artificial intelligence, the Internet of Things (IoT), and telecommunication technologies continue to accelerate, the demand for cheaper radiofrequency (RF) electronics increases. However, developing devices that meet the stringent... read more 

Automated data extraction for systematic reviews using GPT-5.2 and Google Gemini Pro 3: A dual-large language model approach in orthopaedic research.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: To evaluate the accuracy, agreement, and efficiency of a dual-large language model (LLM) approach using Generative Pre-Trained Transformer 5.2 (GPT-5.2) and Google Gemini 3 Pro for automated data extraction in orthopaedic systematic reviews.... read more