Artificial Intelligence Medical Compendium

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

Showing 64,321 to 64,330 of 231,309 articles

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 Jan 14, 2026
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 

Combined Experimental and Machine Learning Study on the Interplay between Delignification and Mechanical Properties for Improved Poplar Wood Reconstruction.

ACS applied materials & interfaces Jan 14, 2026
Structure-retaining delignification of wood is widely used to obtain scaffolds suitable for the preparation of high-performance biobased composites. However, this often comes at the expense of sustainability and large-scale production potential. To a... read more 

Accelerated Discovery of Topological Conductors for Nanoscale Interconnects.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 14, 2026
The sharp increase in resistivity of copper interconnects at ultra-scaled dimensions threatens the continued miniaturization of integrated circuits. Topological semimetals (TSMs) with gapless surface states (Fermi arcs) provide conduction channels re... read more 

Improving Appropriateness in Head CT: Artificial Intelligence as a Potential Catalyst for High-Value Care.

AJR. American journal of roentgenology Jan 14, 2026
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AI-Based D-Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug-Resistant Bacterial Infection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 14, 2026
D-amino acid substitution provides an effective strategy for optimizing antimicrobial peptides (AMPs) by enhancing their stability. However, the absence of universal rules renders traditional screening methods time-consuming and labor-intensive, pote... read more 

Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis.

The aging male : the official journal of the International Society for the Study of the Aging Male Jan 14, 2026
BACKGROUND: Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. METHODS: We screened genetic instruments related to the gut microbiota and... read more 
Humans Machine Learning Male Genome-Wide Association Study Computational Biology Nomograms Gastrointestinal Microbiome Mendelian Randomization Analysis Prostatic Neoplasms

Bridging Nanostructure Growth and Gas-Sensing Kinetics in Metal-Functionalized Graphene Using Machine-Learned Molecular Dynamics.

ACS applied materials & interfaces Jan 14, 2026
Graphene functionalized with catalytic transition metals offers high-performance chemiresistive gas sensing by coupling graphene's exceptional electronic transport with the metal's catalytic activity; yet the atomistic relationships connecting synthe... read more 

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 14, 2026
Reversible addition-fragmentation chain transfer (RAFT) polymerization has undergone transformative growth since its inception in 1998, emerging as a powerful and versatile tool for precision polymer synthesis. This review highlights the latest devel... read more 

On-chip characterization of cell mechanics assisted by external physical fields and artificial intelligence.

Lab on a chip Jan 14, 2026
Traditional microfluidic chips for single-cell mechanical characterization face challenges such as cell aggregation and low throughput, limiting their clinical applicability. While fluid-driven methods such as constricted extrusion, pipette aspiratio... read more 

Prediction and interpretability analysis of the properties of energetic ionic salts based on machine learning.

Physical chemistry chemical physics : PCCP Jan 14, 2026
As a significant subset of energetic materials, energetic ionic salts (EISs) have garnered considerable attention due to their potential application in the fields of explosives and propellants. To accelerate their development, this study establishes ... read more 
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