Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kai-Hang Yiu

View on Semantic Scholar

4 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Prognostic significance of cardiac magnetic resonance parameters in hypertrophic cardiomyopathy: a multicentre study.

Hypertrophic cardiomyopathy (HCM) patients have an increased risk of heart failure (HF), arrhythmias and sudden cardiac death (SCD). There are a lack of studies comparing the prognostic value of cardiac magnetic resonance (CMR) determined left ventricular (LV) global longitudinal strain (LVGLS), left atrial strain (LAS...

Shui-Yan-Yan-Nie Ho, K. Yiu, K. Leung et al. · 0 citations
Open access Sep 2026

Gaps in lipid management among high-risk patients without prior MI or stroke: the VESALIUS-REAL global study.

BACKGROUND Real-world evidence on lipid-lowering therapy (LLT) use and low-density lipoprotein cholesterol (LDL-C) control in patients at high cardiovascular (CV) risk without prior myocardial infarction (MI) or stroke remains limited. We evaluated LLT use, treatment intensification, LDL-C monitoring, and LDL-C goal at...

Q. Chan, J. Cegla, U. Laufs et al. · 0 citations
Aug 2026

Real-World Effectiveness and Safety of Direct Oral Anticoagulants Versus Warfarin in Patients With Atrial Fibrillation and Mitral Stenosis : A Target Trial Emulation.

BACKGROUND Whether direct oral anticoagulants (DOACs) are a safe and effective alternative to warfarin in patients with atrial fibrillation and mitral stenosis (AF-MS) remains controversial. OBJECTIVE To evaluate the effectiveness and safety of DOACs versus warfarin in patients with AF-MS. DESIGN Observational coho...

Yu Yang, Chin-Yao Shen, M. Cheng et al. · 0 citations
Aug 2026

MolADR: Multi-Scale Complementary Learning of Dual-Granularity Molecules and Knowledge Graphs for ADR Prediction in Drug Combinations.

With the increasing use of multiple medications in clinical practice, accurate and interpretable prediction of organ-level adverse drug reactions (ADRs) induced by drug combinations is essential for drug safety assessment and precision medicine. Existing knowledge graph (KG)-based methods primarily model biomedical ass...

Yi-Fan Qi, Qing-Wen Ren, Chen-Xu Wang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.