Genome-wide association analyses identify new risk loci for heart failure and its subtypes, extending understanding of the underlying biological pathways and disease mechanisms. Albert Henry Xiaodong Mo Marion van Vugt ResearchOpen Access04 Mar 2025 Nature Genetics P: 1-14 All Research & Reviews ...
Heart Failure Specialist Care and Long-Term Outcomes for Patients Admitted With Acute Heart Failure Antonio Cannata, ... Theresa A. McDonagh March 2025View PDF Research articleAbstract only Decongestion and Outcomes in Patients Hospitalized for Acute Heart Failure: Insights From the RELAX-AHF-2 Tria...
Treatment of acute heart failure (AHF) remains challenging.3–9In particular, patients hospitalized for AHF continue to be discharged on an inadequate number of guideline-directed medical therapies (GDMTs) despite evidence...
strokes, heart failure, and premature death in individuals already diagnosed with the disease. This is achieved through lifestyle changes, medications, and medical treatments. Without proper intervention, these patients face significantly higher health risks. Over the past decade, major health organization...
The focus of his research in humans has been on sleep apnea in heart failure. He has published extensively on the prevalence, mechanisms, various therapeutic options, and the impact of the disease on mortality of patients with heart failure. He is the section editor for cardiovascular disease ...
Here, we elucidate the effect of pre-existing heart failure with reduced ejection fraction (HFrEF) on kidney via sympathetic activity, using the combining models of transverse aortic constriction (TAC) and unilateral renal ischemia reperfusion (IR). The evaluation of acute (24 h) and chronic (2...
The progression of heart failure (HF) is complex and involves multiple regulatory pathways. Iron ions play a crucial supportive role as a cofactor for important proteins such as hemoglobin, myoglobin, oxidative respiratory chain, and DNA synthetase, in t
Moreover, Microsoft Research Asia encourages bold risk-taking and exploration, even tolerating failure. For example, in January, our team achieved a breakthrough withrStar-Math, advancing the mathematical reasoning ability of large models. In the early stages, we faced numerous challenges and limitat...
Current Heart Failure Reports provides in-depth review articles contributed by international experts on the most significant developments in the field. By ...
This research introduces a monitoring system based on AI and integrated with a machine-deep ET-CNN model for detecting heart failure instances. In order to ascertain the performance of our suggested ET-CNN prototypes against other transfer learning, deep learning, and ML models, numerous experiments...