Artificial Intelligence Medical Compendium

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

Showing 17,401 to 17,410 of 213,726 articles

Dendrobine inhibits the growth and invasion of human breast cancer cells by regulating the NF-κB signaling pathway via the SLC6A9 target.

Cytotechnology
Dendrobine exhibits notable anti-tumor activity against breast cancer (BRCA). In this study, we integrated network pharmacology, bioinformatics, and experimental validation to elucidate its mechanisms. SwissTargetPrediction and differential gene anal... read more 

Strengthening Holistic Nursing Competence Among Emergency Nurses in the Digital Era: The Roles of Clinical Governance, Digital Empathy, and Artificial Intelligence Attitude.

Journal of emergency nursing
INTRODUCTION: Digital technologies and artificial intelligence are rapidly transforming emergency nursing, raising concerns about how nurses can sustain holistic, person-centered care in highly technologized environments. Organizational conditions su... read more 

Predicting Dry Matter Intake in Gestating Ewes Using Greenhouse Gas Measurements from Portable Accumulation Chambers.

Journal of animal science
Accurate measurement of dry matter intake (DMI) in sheep is logistically challenging and costly, particularly under commercial conditions and across diverse production systems. This study evaluated whether methane (CH4), carbon dioxide (CO2) and oxyg... read more 

Transport and distribution patterns of floating marine litter: Numerical modeling and AI-empowered solutions.

Marine environmental research
Floating marine litter (FML) has emerged as a central priority in global ocean governance. Thoroughly deciphering the spatiotemporal evolutionary mechanisms of its "source-sink" system is fundamental to formulating scientifically robust management st... read more 

Predicting type II diabetes mellitus in young and middle-aged adults: A machine learning approach using the Utah population database.

Diabetes research and clinical practice
AIMS: To develop a machine learning framework for predicting type 2 diabetes mellitus (T2DM) using administrative data and electronic health records (EHR) that could be applied in healthcare settings. METHODS: Study population included parents of ind... read more 

Progress in Precision Drug Delivery Systems for Neurodegenerative Diseases with Muscle Atrophy.

Neuropharmacology
Neurodegenerative diseases frequently co-occur with skeletal muscle atrophy, creating a complex comorbid condition that significantly accelerates functional decline and increases mortality. This dual pathology is driven by interconnected mechanisms s... read more 

Prognostic Significance and Therapeutic Implications of Migrasome-related genes in Sorafenib Treatment for Primary Liver Cancer.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
PURPOSE: This study aimed to reveal the mechanism and prognostic significance of migrasome-related genes (MGs) in primary liver cancer (PLC) treated with Sorafenib (Sor) treatment. METHODS: Datasets were extracted from an online database, and differe... read more 

MedNext-Insight Model for Automated Metabolic Tumor Volume Delineation on Computed Tomography and Prognostic Value in Nasopharyngeal Carcinoma.

International journal of radiation oncology, biology, physics
PURPOSES: To develop a deep learning model for automated metabolic tumor volume (MTV) delineation on routine computed tomography (CT) without positron emission tomography (PET) and validate its prognostic value in nasopharyngeal carcinoma (NPC). METH... read more