Results 131 to 140 of about 169,795 (221)

Positive head-up tilt table test in patients with the long QT syndrome [PDF]

open access: bronze, 1999
Antonio G. Hermosillo   +4 more
openalex   +1 more source

Identification of Diagnostic Biomarkers for Colorectal Polyps Based on Noninvasive Urinary Metabolite Screening and Construction of a Nomogram

open access: yesCancer Medicine, Volume 14, Issue 7, April 2025.
ABSTRACT Purpose/Backgrounds Colorectal polyps (CRPs) are precursors to colorectal cancer (CRC), and early detection is crucial for prevention. Traditional diagnostic methods are invasive, prompting a need for noninvasive biomarkers. This study aimed to identify urinary metabolite biomarkers for diagnosing CRPs and construct a diagnostic nomogram based
Yang Xie   +7 more
wiley   +1 more source

Congenital long QT syndrome: The masquerader

open access: yesIndian Journal of Anaesthesia, 2022
Bincy V Thomas   +3 more
doaj   +1 more source

Efficacy of Low‐Dose Fluconazole for Primary Prophylaxis of Invasive Candida Infections in Patients With Acute Leukemia: A Double‐Blind Randomized Clinical Trial

open access: yesCancer Medicine, Volume 14, Issue 7, April 2025.
ABSTRACT Background Invasive fungal infections (IFIs), particularly Candida infections, are a significant cause of morbidity and mortality in patients with acute leukemia. While fluconazole is widely used for prophylaxis, the optimal dosing regimen remains uncertain.
Roghayeh Savary‐Kouzehkonan   +7 more
wiley   +1 more source

Advancing Precision Medicine: The Role of Genetic Testing and Sequencing Technologies in Identifying Biological Markers for Rare Cancers

open access: yesCancer Medicine, Volume 14, Issue 8, April 2025.
ABSTRACT Background Genetic testing and sequencing technologies offer a comprehensive understanding of cancer genetics, providing rapid and cost‐effective solutions. In particular, these advanced technologies play an important role in assessing the complexities of the rare cancer types affecting several systems including the bone, endocrine, digestive,
Joviana Farhat   +4 more
wiley   +1 more source

Mitral Annulus Disjunction Causing Ventricular Tachyarrhythmias in a Young Lady With Palpitations, Cardiac Ablation Terminated the Complaints

open access: yesClinical Case Reports, Volume 13, Issue 4, April 2025.
ABSTRACT Mitral annulus disjunction (MAD) is a rare but significant cause of ventricular arrhythmias in young patients. Timely diagnosis using cardiac magnetic resonance imaging and targeted management with catheter ablation can effectively control arrhythmias, improve patient outcomes, and prevent severe complications such as sudden cardiac death.
Mohammad Hosein Nikoo   +3 more
wiley   +1 more source

Programming Variational Quantum Circuits with Quantum-Train Agent [PDF]

open access: yesarXiv
In this study, the Quantum-Train Quantum Fast Weight Programmer (QT-QFWP) framework is proposed, which facilitates the efficient and scalable programming of variational quantum circuits (VQCs) by leveraging quantum-driven parameter updates for the classical slow programmer that controls the fast programmer VQC model.
arxiv  

Jervell and Lange‐Nielsen Syndrome (JLNS) in a 13‐Year‐Old Girl: A Rare Case Report

open access: yesClinical Case Reports, Volume 13, Issue 4, April 2025.
ABSTRACT JLNS is a rare genetic disorder characterized by congenital sensorineural hearing loss and a prolonged QTc interval, leading to life‐threatening arrhythmias. Early diagnosis, beta‐blocker therapy, lifestyle modifications, and consideration of ICD surgery are critical in managing sudden cardiac death risk.
Masab Ali   +6 more
wiley   +1 more source

Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem [PDF]

open access: yesarXiv
Flood prediction is a critical challenge in the context of climate change, with significant implications for ecosystem preservation, human safety, and infrastructure protection. In this study, we tackle this problem by applying the Quantum-Train (QT) technique to a forecasting Long Short-Term Memory (LSTM) model trained by Quantum Machine Learning (QML)
arxiv  

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