AI Medical Compendium

Discovery of H2 Receptor Antagonists as Colistin Enhancers by Targeting Acid Stress Response.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 25, 2026

Plasmid-mediated colistin resistance gene mcr has markedly diminished the effectiveness of colistin in managing multidrug-resistant (MDR) Gram-negative bacterial infections. Employing antibiotic adjuvants to revive colistin susceptibility offers a va... read more

Photophysics-Guided Upconversion Nanosystems for Sensing.

Accounts of chemical research Feb 25, 2026

ConspectusPhoton upconversion, which converts low-energy near-infrared light into higher-energy emission, has emerged as a powerful tool at the intersection of photophysics, materials science, and biosensing. The nonlinear excitation, large anti-Stok... read more

Artificial intelligence and machine learning for plasmonic and surface-enhanced sensing.

Chemical Society reviews Feb 25, 2026

Plasmonic sensing is a vibrant field where the optical properties of surface plasmons are exploited to create analytical sensors for biomedical, environmental and food safety applications, among others. Upon irradiation of light on a plasmon-active n... read more

Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach.

Plastic and reconstructive surgery Feb 25, 2026

BACKGROUND: Abdominal donor site complications remain significant concerns in Deep Inferior Epigastric Perforator (DIEP) flap breast reconstruction. In this study, we pair computed tomography (CT) morphometric analysis of the abdominal wall with mach... read more

Data mining in pediatric radiology in the era of artificial intelligence.

Pediatric radiology Feb 25, 2026

Data mining is the systematic process of extracting useful knowledge from large multimodal datasets and is increasingly enabled by artificial intelligence (AI) methods. Pediatric radiology is a natural field for data mining because multimodal data so... read more

Application research on surveillance and predictive modeling of respiratory diseases in Baise City based on meteorological big data analysis.

International journal of biometeorology Feb 25, 2026

Respiratory diseases are increasingly influenced by meteorological variability, yet few studies have applied high-resolution environmental data and advanced forecasting models to quantify this relationship in climate-sensitive regions such as souther... read more

Artificial intelligence in pediatric nephrology: current applications and emerging frameworks for evidence generation.

Pediatric nephrology (Berlin, Germany) Feb 25, 2026

Artificial intelligence (AI) is rapidly transforming many areas of medicine. Pediatric nephrology may be a field of particular relevance due to its data-rich environments, rarity of diseases, long-term follow-up needs, and persistent evidence gaps. T... read more

A novel deep learning framework for field-scale wheat yield prediction.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Feb 25, 2026

A genetic algorithm-optimized deep neural network was developed using proximal sensing data to accurately predict wheat yield at field scale, outperforming traditional machine learning models under diverse conditions. Hand held or vehicle-mounted act... read more

Phosphoenolpyruvate carboxykinase 2 as a prognostic biomarker: expression and clinical significance in Group 3 and Group 4 medulloblastoma.

Journal of neuro-oncology Feb 25, 2026

PURPOSE: Despite Phosphoenolpyruvate carboxykinase 2 (PCK2) has attracted growing attention as a potential biomarker in cancer research, its role in medulloblastoma (MB) remains unclear. This research aims to evaluate PCK2 as a novel biomarker for gr... read more

Multimodal artificial intelligence for enhanced skin cancer diagnosis and prognosis.

Discover oncology Feb 25, 2026

Artificial Intelligence Medical Compendium