Artificial Intelligence Medical Compendium

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

Showing 28,251 to 28,260 of 219,260 articles

Volumetric Properties and Microscopic Interactions of Allyl-Functionalized Imidazolium Ionic Liquid Aqueous Dilute Solutions: A Combined Experimental, Machine Learning, and Pitzer Modeling Study.

The journal of physical chemistry letters
The thermophysical properties of ionic liquids (ILs) in dilute solutions are crucial for their industrial applications. In this study, two allyl-functionalized imidazolium ionic liquids─1-allyl-3-ethylimidazolium dicyanamide ([AEim][DCA]) and 1-allyl... read more 

Explainable machine learning integrating bioelectrical impedance for 6-month cardiovascular risk in peritoneal dialysis.

Renal failure
Peritoneal dialysis (PD) is a common treatment for end-stage renal disease, yet cardiovascular disease (CVD) remains a major cause of morbidity. Inadequate fluid management can elevate CVD risk, and bioelectrical impedance spectroscopy (BIS) is incre... read more 

Bidirectional Dynamics of Dual Systems and Problematic Internet Use in Children and Adolescents: A Person-Centered Perspective.

Journal of adolescence
OBJECTIVE: Problematic Internet Use (PIU) is a critical public health issue, especially among children and adolescents. The Dual Systems Model posits that imbalances between reward processing and self-control systems increase PIU vulnerability, with ... read more 

LadderGen: a large-scale generative library of ladder polymers for membrane separations.

Materials horizons
Ladder polymers possess exceptional rigidity, microporosity, and thermal stability, yet their exploration as gas separation membranes is hindered by the scarcity of synthetically accessible chemical structures. Here, we introduce LadderGen, a large-s... read more 

Biobank-Scale Plasma Proteomics Identifies Novel Biomarkers in Hypertrophic Cardiomyopathy.

Circulation. Genomic and precision medicine
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is characterized by substantial heterogeneity in both clinical phenotype and risk of adverse outcomes, including heart failure and sudden cardiac death. This highlights the need for robust biomarkers for ... read more 

Integrative Proteomic and Machine Learning Analysis Identifies Novel Predictors and Risk Model for Diabetic Macrovascular Complications.

Diabetes, obesity & metabolism
OBJECTIVE: Diabetic macrovascular complications continue to drive substantial morbidity, yet early detection tools and deeper mechanistic understanding remain scarce. This study aimed to pinpoint circulating protein biomarkers for diabetic macrovascu... read more 

Macrocyclic peptides as protein-protein interaction modulators: a review.

Organic & biomolecular chemistry
Protein-protein interactions (PPIs) govern essential cellular processes, such as signal transduction, enzymatic catalysis, and the formation of macromolecular complexes, but their broad and dynamic interfaces often lack deep binding pockets, making i... read more 

Development and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
OBJECTIVE: To develop and validate a deep learning-based segmentation method for accurate identification of fenestration markers and graft body contours in intraoperative fluoroscopic images during fenestrated endovascular aortic repair (FEVAR). METH... read more