Results 151 to 160 of about 439,002 (390)
Arrhythmogenic right ventricular cardiomyopathy associated with severe left ventricular involvement in a cat. [PDF]
An 8-year-old, 4 kg, intact female, domestic shorthaired cat was referred for tachypnea and pleural effusion. A 24-h Holter recording showed numerous polymorphic ventricular premature complexes with left and right bundle branch block morphology ...
Basso C+3 more
core +1 more source
Biomedical Applications of Gadolinium‐Containing Biomaterials: Not Only MRI Contrast Agent
This paper summarizes the latest applications and potential mechanisms of the rare earth element gadolinium in biomedical fields, in addition to its traditional application as an MRI contrast agent, including osteogenesis, antimicrobial, antitumor, bioimaging, bioprobes, and so on.
Xingtong Pan+9 more
wiley +1 more source
Prolonged Neuropsychiatric Disability and Cardiomyopathy in Acute Intermittent Porphyria [PDF]
M. D. Eilenberg, B. A. Scobie
openalex +1 more source
Doxorubicin‐induced cardiomyopathy involves mitochondrial energy metabolism dysfunction, exacerbated by cardiomyocyte‐specific Slc25a49 deficiency via oxidative phosphorylation (OXPHOS) suppression and glycolysis activation. The Slc25a49–glucose‐6‐phosphate (G6P)–activator protein‐1 (AP‐1) axis drives myocardial injury by upregulating Sln, disrupting ...
Sitong Wan+16 more
wiley +1 more source
Is Hypertrophic Cardiomyopathy Always a Familial and Inherited Disease?
Jiri Bonaventura+3 more
doaj +1 more source
Background Cardiovascular magnetic resonance (CMR) imaging in patients with hypertrophic cardiomyopathy (HCM) enables the assessment of not only left ventricular (LV) hypertrophy and scarring but also the severity of mitral regurgitation.
Mateusz Śpiewak+16 more
doaj +1 more source
The Ultra Low Frequency Force Ballistocardiograph in Acute Cardiomyopathy [PDF]
Brendan Phibbs+2 more
openalex +1 more source
Barry J. Maron+3 more
doaj +1 more source
Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data [PDF]
As the number of patients with heart failure increases, machine learning (ML) has garnered attention in cardiomyopathy diagnosis, driven by the shortage of pathologists. However, endomyocardial biopsy specimens are often small sample size and require techniques such as feature extraction and dimensionality reduction.
arxiv