Artificial Intelligence Medical Compendium

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

Showing 47,081 to 47,090 of 224,199 articles

Molecular Representation and Closed-Loop Validation for Toxicity Assessment of Organic Compounds in Ambient Air PM2.5.

Environmental science & technology
Although the health impacts of fine particulate matter (PM2.5) are primarily attributed to its chemically diverse composition rather than to mass concentration, assessing the toxicity of PM2.5 constituent compounds remains highly challenging due to c... read more 

Based on single-cell and transcriptome analysis of inflammatory pathway biomarkers and their molecular mechanisms in chronic obstructive pulmonary disease.

PloS one
BACKGROUND: Systemic inflammation in chronic obstructive pulmonary disease (COPD) presents significant therapeutic challenges. Our study employs integrated transcriptomic and single-cell analyses to identify inflammation-related biomarkers and elucid... read more 

Comparing human vs. machine-assisted analysis to develop a new approach for Big Qualitative Data Analysis.

PLOS digital health
BACKGROUND: The exponential growth of Big Qualitative (Big Qual) data in healthcare research presents methodological challenges for traditional analysis approaches. This study evaluates the effectiveness of machine-assisted analysis using artificial ... read more 

Maximizing ball movement unpredictability in association football: A Rényi entropy-based approach to optimizing event distribution randomness.

PloS one
Modern football prioritizes team play and tactical strategies over individual brilliance. However, its low-scoring nature makes evaluating team performance challenging. Unpredictable ball movement enhances offensive play while complicating defensive ... read more 

AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets.

PLOS digital health
Deep neural networks can classify ECGs with high accuracy when training data is abundant. Rare conditions like Brugada syndrome, an inherited arrhythmia syndrome predisposing to sudden death, pose challenges due to data scarcity hindering model train... read more 

Technical Aspects and Clinical Relevance of Cuffless Devices for Blood Pressure Measurement. A Scientific Statement of the ESC Working Group on e-Cardiology, the ESC Council on Hypertension, and the European Association of Preventive Cardiology of the ESC.

European journal of preventive cardiology
Cuffless blood pressure (BP) monitoring devices represent a promising innovation in hypertension management. This scientific statement provides a comprehensive update on these emerging technologies, their specific validation requirements, their poten... read more 

PON-Del predictor for sequence retaining protein deletions.

PLoS computational biology
Protein deletions are frequent among both disease-causing and tolerated variants. Several mechanisms at the DNA, RNA and protein levels can lead to deletions. Many deletions are misclassified in the literature and databases, especially when the mRNA ... read more 

A peptide immunomodulator activates MST1 to expand and stabilize murine and human regulatory T cells for immune tolerance.

Science translational medicine
The expansion and potentiation of regulatory T cells (Treg cells) offer an appealing approach for achieving immune tolerance and controlling overactive immune responses across a range of diseases. Current therapeutic approaches to expanding and impro... read more 

Diverse database and machine learning model to narrow the generalization gap in RNA structure prediction.

Science advances
Understanding macromolecular structures of proteins and nucleic acids is critical for discerning their functions and biological roles. Advanced techniques-crystallography, nuclear magnetic resonance, and cryo-electron microscopy-have facilitated the ... read more