Artificial Intelligence Medical Compendium

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

Showing 64,601 to 64,610 of 231,605 articles

Characterizing RNA Tetramer Conformational Landscape Using Explainable Machine Learning.

The journal of physical chemistry letters
The conformational flexibility of RNA molecules enables them to play vital physiological roles, including carrying genetic information, catalyzing reactions, and forming organelles. However, this structural diversity complicates the quantitative samp... read more 

Gastric cancer organoids and their convergence in engineering approaches.

FEBS letters
Gastric cancer research has rapidly progressed due to interdisciplinary advances in stem cell biology and bioengineering. Gastric organoid models, particularly those derived from adult stem cells, have emerged as powerful tools that recapitulate the ... read more 

Intercalation-mediated activation and enhancement of ferroelectricity in transition metal dichalcogenide heterobilayers.

Nanoscale
Ferroelectricity (FE) in two-dimensional (2D) materials holds considerable promise for ultrathin, low-power memory and logic applications, but its advancement remains limited by the scarcity of high-performance candidates and the generally weak out-o... read more 

Thermophiles in the genomic Era (2015-2025): a review on biodiversity, metagenome-assembled genomes, and future directions.

Critical reviews in microbiology
Thermophile research has been transformed over the past decade by advances in genome sequencing. Once centered on culture collections and physiological studies of terrestrial hot springs and deep-sea hydrothermal vents, the field now employs amplicon... read more 

Comprehensive review on immunotherapy for hepatocellular carcinoma: Current status and future perspectives.

International reviews of immunology
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global health concern due to its high incidence and mortality rates. Although advances in surgery, chemotherapy, and radiotherapy have improved management, ... read more 

Bioinspired Janus Triboelectric Surface Enabled by Laser-Patterned Oxidation.

Nano letters
Amid growing resource scarcity and sustainability demands, water vapor emitted from cooling towers is shifting from a neglected industrial byproduct to a strategic water resource, yet its efficient recovery and accurate monitoring remain challenging.... read more 

Critical Temperature Thresholds for Identifying Vulnerability to Heat-Related Excess Cardiovascular Morbidity and Mortality.

Journal of the American Heart Association
BACKGROUND: Extreme heat is a well-established environmental hazard linked to elevated cardiovascular disease (CVD) morbidity and mortality, yet few studies evaluate temperature effects across multiple temporal scales or identify community-specific v... read more 

Longitudinal Validation of a Deep Learning Index for Aortic Stenosis Progression.

Journal of the American Heart Association
BACKGROUND: Aortic stenosis (AS) is a progressive disease requiring timely monitoring and intervention. While transthoracic echocardiography remains the diagnostic standard, deep learning-based approaches offer the potential for improved disease trac... read more 

Concluding remarks: Achievements, challenges, and trajectories for high-entropy alloy nanoparticles.

Faraday discussions
The field of high-entropy alloy nanoparticles (HEA-NPs) had to move and indeed has moved beyond the early enthusiasm of simply "mixing five or more elements and hoping the configurational entropy will do some magic" in terms of chemical and physical ... read more 

Characterising symptom clusters: examining profiles of somatic symptoms and their psychosocial predictors among chinese youths using longitudinal data with a machine learning approach.

Psychology & health
OBJECTIVE: Somatic symptoms (SS) pose public health burdens, but it remains unclear whether SS should be defined by overall severity or specific symptoms. Therefore, we aimed to identify SS profiles and explore how psychosocial predictors shape these... read more