AI Medical Compendium

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

Journal of cheminformatics Apr 21, 2026

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 Apr 21, 2026

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 Apr 21, 2026

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 Apr 21, 2026

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 Apr 21, 2026

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 Apr 21, 2026

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) Apr 21, 2026

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.) Apr 21, 2026

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 Apr 21, 2026

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

Decoding the renal-cochlear axis: explainable machine learning and phenotype clustering reveal high-risk hearing loss subtypes in CKD.

Renal failure Apr 21, 2026

This study develops a dual-level machine learning framework for risk stratification and phenotyping of hearing loss (HL) in patients with chronic kidney disease (CKD) using data from the National Health and Nutrition Examination Survey (NHANES). From... read more

Artificial Intelligence Medical Compendium