Results 71 to 80 of about 3,812,853 (308)

Implementation of guideline-recommended organ-protective therapy in people with type 2 diabetes and cardiovascular disease, heart failure, or kidney disease: real-world evidence from a German University Hospital

open access: yesFrontiers in Endocrinology
BackgroundOrgan-protective therapy with sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1RA) is recommended for people with type 2 diabetes (PwT2D) and cardiorenal comorbidities, yet real-world uptake ...
Karzan Suliman   +9 more
doaj   +1 more source

Implementation of Artificial Fish Swarm Optimization for Cardiovascular Heart Disease

open access: yesInternational journal of recent technology and engineering, 2020
Today we are living in the digital world, with a systematic life, which may leads to many new diseases due to artificial production on agriculture, mental stress, economic and social stress too.

semanticscholar   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks

open access: yesBMC Bioinformatics
Background MicroRNAs (miRNAs) are pivotal in the initiation and progression of complex human diseases and have been identified as targets for small molecule (SM) drugs.
Jianwei Li   +4 more
doaj   +1 more source

Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure

open access: yesAging, 2020
Heart failure is a global health problem that affects approximately 26 million people worldwide. As conventional diagnostic techniques for heart failure have been in practice with various limitations, it is necessary to develop novel diagnostic models to
Yuqing Tian, Jiefu Yang, M. Lan, T. Zou
semanticscholar   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Artificial heart

open access: yesMedical Journal of Australia, 2014
An artificial heart is a device that replaces the heart. Artificial hearts are typically used to bridge the time to heart transplantation, or to permanently replace the heart in case heart transplantation is impossible. Although other similar inventions preceded it are going back to the late 1940s, the first artificial heart to be successfully ...
openaire   +3 more sources

Synchrotron Radiation for Quantum Technology

open access: yesAdvanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader   +10 more
wiley   +1 more source

Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features

open access: yesEuropean Heart Journal - Digital Health, 2020
Aims Although heart failure with preserved ejection fraction (HFpEF) is a rapidly emerging global health problem, an adequate tool to screen it reliably and economically does not exist.
J. Kwon   +7 more
semanticscholar   +1 more source

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