Artificial Intelligence Medical Compendium

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

Showing 51,061 to 51,070 of 225,062 articles

Targeting Brain Networks for Recovery: Multimodal Innovations in Poststroke Therapy.

Stroke
Stroke disrupts brain networks across multiple spatiotemporal scales, producing structural and functional deficits that extend beyond focal injury. Peri-infarct networks are particularly vulnerable yet provide a foundation for neurological recovery d... read more 

Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation study.

FEBS open bio
Mitotic figure counting is an established measure of cell proliferation that is included in grading systems. We developed a deep learning method for mitotic figure counting and evaluated its prognostic impact in multiple external validation datasets.... read more 

Digital Transformation in Clinical Genetics: A Concept Analysis.

Computers, informatics, nursing : CIN
Using technology to radically improve performance or the influence of business, known as digital transformation, could reshape health care by making care more accessible, personalized, and data-driven, leading to improved patient outcomes and more ef... read more 

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification.

Biotechnology and bioengineering
Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data-rich information from complex dynamic biologic... read more 

An Enthalpy-Entropy Compensated Ionogel With a Broadband Viscoelastic Plateau for Non-Invasive and High-Fidelity Neurointerfaces.

Advanced materials (Deerfield Beach, Fla.)
Achieving non-invasive and high-fidelity electrophysiological recording, particularly electroencephalography (EEG), on dynamic and irregular human skin remains a central challenge in soft bioelectronics, as materials rarely reconcile liquid-like adap... read more 

PlantCTCIP: Chromatin Interaction Prediction Using Convolutional Neural Network and Transformer in Plants.

Plant biotechnology journal
Chromatin interactions establish spatial proximity between distant regulatory elements and their target genes, significantly influencing gene expression, and phenotypic traits. In this study, we present a plant chromatin interaction prediction model ... read more 

Navigating Ternary Doping in Li-ion Cathodes With Closed-Loop Multi-Objective Bayesian Optimization.

Advanced materials (Deerfield Beach, Fla.)
To further improve secondary battery materials, we are increasingly exploring highly complex composition spaces in attempts to optimize multiple properties simultaneously. While our past work has done this in systematic manners using high-throughput ... read more 

Advances in extracellular vesicle research: tools and techniques.

Nanoscale horizons
Extracellular vesicles (EVs) are lipid bilayer vesicles produced endogenously by all cell types and they contain cytosolic, extracellular, and membrane signaling molecules. Due to the physiological and pathological significance of EVs, they have emer... read more 

Outcomes of Artificial Intelligence Enhanced Colonoscopy in a Tertiary Clinical Setting.

The American journal of gastroenterology
BACKGROUND AND AIMS: Colonoscopies reduce colorectal cancer incidence and mortality, but challenges remain in detecting all precancerous lesions. Operator fatigue, technique variability, and subtle lesions can lead to missed adenomas, highlighting th... read more