Results 221 to 230 of about 67,931 (327)
Use of glucagon-like peptide-1 receptor agonists in patients with left ventricular assist devices. [PDF]
Ibrahim R +12 more
europepmc +1 more source
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas +8 more
wiley +1 more source
Diagnostic accuracy of transthoracic echocardiography to detect structural abnormalities of the outflow graft in patients with left ventricular assist devices. [PDF]
Sato T +6 more
europepmc +1 more source
Advanced prostate cancer is highly invasive and prone to rapid metastasis, creating an urgent need for novel therapeutic strategies. We developed a PSMA‐targeting macrophage membrane‐coated nanomedicine (P‐MMCNPs@DM1). Leveraging the immune‐evasive and active‐targeting properties of macrophage membrane coating, P‐MMCNPs@DM1 effectively managed both ...
Keying Zhang +19 more
wiley +1 more source
Pediatric Heart Conditions: What Do Occupational Therapists Need to Know? [PDF]
Rogers, Stefanie
core +2 more sources
A Thematic Qualitative Synthesis on the Lived Experiences of Patients With Left Ventricular Assist Devices: A Journey From Vulnerability to Resilience. [PDF]
Koutsavli D +5 more
europepmc +1 more source
This study presents an innovative therapeutic strategy that integrates sequential ultrasound therapy with an injectable oxidized dextran‐metformin (ODE‐Met) hydrogel to dynamically regulate macrophage polarization and promote angiogenesis for inflamed tissue repair.
Fulong Man +12 more
wiley +1 more source
Prognostic value of NT-proBNP monitoring in patients with left ventricular assist devices. [PDF]
Cherbi M +10 more
europepmc +1 more source
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi +11 more
wiley +1 more source

