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
Beta-adrenergic Blockade in Hypertrophic Obstructive Cardiomyopathy [PDF]
G Cherian+4 more
openalex +1 more source
Comprehensive genetic analysis of poorly differentiated gastric cancer in young females
Although the involvement of female sex hormones in the development of poorly differentiated gastric cancer in young females is controversial, our detailed analysis using RNA‐seq suggested that the female sex hormone, β‐estradiol plays a role in the development of poorly differentiated gastric cancer in young females. Abstract Aim The reasons behind the
Nobuhiro Nakazawa+9 more
wiley +1 more source
The normal function of the human myocardium requires the proper generation and utilization of energy and relies on a series of complex metabolic processes to achieve this normal function.
J. Towbin, J. Jefferies
semanticscholar +1 more source
THE ELECTROCARDIOGRAM IN CARDIOMYOPATHY [PDF]
Robert M. Hollister, J. F. Goodwin
openalex +1 more source
A Deep Learning-Driven Pipeline for Differentiating Hypertrophic Cardiomyopathy from Cardiac Amyloidosis Using 2D Multi-View Echocardiography [PDF]
Hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis (CA) are both heart conditions that can progress to heart failure if untreated. They exhibit similar echocardiographic characteristics, often leading to diagnostic challenges. This paper introduces a novel multi-view deep learning approach that utilizes 2D echocardiography for differentiating ...
arxiv
Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis [PDF]
The segmentation and classification of cardiac magnetic resonance imaging are critical for diagnosing heart conditions, yet current approaches face challenges in accuracy and generalizability. In this study, we aim to further advance the segmentation and classification of cardiac magnetic resonance images by introducing a novel deep learning-based ...
arxiv
HAeMODYNAMIC EFFECTS OF CHANGES IN BLOOD VOLUME IN HYPERTROPHIC OBSTRUCTIVE CARDIOMYOPATHY [PDF]
Pravin M. Shah+2 more
openalex +1 more source
Computational analysis of folding and mutation properties of C5 domain from Myosin binding protein C [PDF]
Thermal folding Molecular Dynamics simulations of the domain C5 from Myosin Binding Protein C were performed using a native-centric model to study the role of three mutations related to Familial Hypertrophic Cardiomyopathy. Mutation of Asn755 causes the largest shift of the folding temperature, and the residue is located in the CFGA' beta-sheet ...
arxiv