Artificial Intelligence Medical Compendium

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

Showing 44,151 to 44,160 of 224,055 articles

The dual role of the crosstalk between autophagy and ferroptosis in lung cancer treatment: Advances in mechanisms and therapeutic strategies (Review).

International journal of molecular medicine
The interaction between autophagy and ferroptosis has resulted in the identification of novel approaches for the treatment of lung cancer (LC). The two processes are closely interconnected via three core regulatory modes: Negative regulation, positiv... read more 

Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).

International journal of molecular medicine
Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreversible lung scarring and frequently associated with lung cancer. Currently, there remains a lack of effective therapies capable of significantly impro... read more 

Heterogeneous Multilayer Nanopores via Chemically Tuned Dielectric Breakdown for Single-Molecule Sensing.

Small (Weinheim an der Bergstrasse, Germany)
Solid-state nanopores are powerful platforms for single-molecule sensing, yet their performance is often constrained by fabrication complexity, noise, and limited control over surface properties. Here we report a direct method to fabricate heterogene... read more 

Handwriting to Digital Text Translation Using a Self-Powered Triboelectricity-Induced Piezoelectric Writing Pad through a Deep Learning Algorithm.

ACS applied materials & interfaces
Human-machine interfaces require energy generation, communication, and computing power to complete the assigned tasks. Here, we introduce a triboelectricity-induced piezoelectric writing pad (TPWP) for advanced letter detection technology capable of ... read more 

Multiplexed Microenvironment-Responsive Probes Enable Rapid Glioblastoma Cell Line Analysis.

Analytical chemistry
Accurate distinguishing the phenotype of glioblastoma (GBM) cell lines remains challenging in clinical diagnostics, particularly for rapid intraoperative assessment, due to tumor heterogeneity and the limitations of conventional methods in capturing ... read more 

Assessing the clinical competence of large language models for tobacco use disorder: A multi-domain expert evaluation.

Journal of addictive diseases
BACKGROUND: Tobacco use disorder (TUD) remains the leading preventable cause of death globally, yet fewer than one-third of users receive guideline-concordant care due to workforce shortages and training gaps. Emerging artificial intelligence (AI) sy... read more 

Exploring feature importance in machine learning for neuroimaging traits in Alzheimer's disease across a multiethnic cohort.

Journal of Alzheimer's disease : JAD
BackgroundAlzheimer's disease (AD) affects 55 million people worldwide, projected to reach 139 million by 2050; yet, most machine learning (ML)-based AD classifiers have been developed in Non-Hispanic White (NHW) cohorts, limiting generalizability.Ob... read more 

Prediction of Penicillin Concentration Using Time Series Forecasting and Machine Learning Techniques.

Drug development and industrial pharmacy
BACKGROUND: Time-series forecasting is crucial in pharmaceutical fermentation, where early detection of deviations safeguards product quality. As the industry evolves toward Pharma 4.0, integrating machine learning into process monitoring and control... read more 

Effects of Performance and Effort Expectancy on AI-Generated Information Adoption Among Chinese Nursing Professionals: Survey-Based SEM Analysis.

Journal of advanced nursing
AIM: To examine determinants of nurses' adoption of generative artificial intelligence outputs in clinical practice using a technology acceptance model and an integrated structural equation modelling framework. DESIGN: Cross-sectional online survey. ... read more 

HighRelax: Physics-Based Refinement of Deep Learning Protein Predictions with Noncanonical Amino Acids.

Journal of chemical theory and computation
Noncanonical amino acids (NCAAs) have emerged as essential building blocks in protein engineering and peptide drug development owing to their advantages in enhancing metabolic stability, membrane permeability, and resistance to proteolytic degradatio... read more