Results 271 to 280 of about 2,176,828 (392)

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

open access: yesEuropean Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo   +11 more
wiley   +1 more source

CAQ Corner: Immune‐mediated complications

open access: yes, 2022
Liver Transplantation, EarlyView.
Mary Thomson, John R. Lake
wiley   +1 more source

Mitochondrial targets in ischaemic heart disease and heart failure, and their potential for a more efficient clinical translation. A scientific statement of the ESC Working Group on Cellular Biology of the Heart and the ESC Working Group on Myocardial Function

open access: yesEuropean Journal of Heart Failure, EarlyView.
Improving clinical translation of mitoprotective therapies. 31P MRI, phosphorus‐31 magnetic resonance imaging; hiPSC‐CM, human‐induced pluripotent stem cell‐derived cardiomyocyte; IHD, ischaemic heart disease. Abstract Acute myocardial infarction (MI) remains a major cause of death and disability worldwide.
Melanie Paillard   +29 more
wiley   +1 more source

Reduction in reperfusion injury by blood-free reperfusion after experimental myocardial infarction

open access: bronze, 1990
Gary L. Schaer   +5 more
openalex   +1 more source

Regulated necrosis in kidney ischemia-reperfusion injury.

open access: yesKidney International, 2019
A. Pefanis   +3 more
semanticscholar   +1 more source

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