A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making.

Echocardiography is the gold standard for the comprehensive diagnosis of cardiac septal defects (CSDs). Currently, echocardiography diagnosis is primarily based on expert observation, which is laborious and time-consuming. With digitization, deep learning (DL) can be used to improve the efficiency of the diagnosis.

An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG).

Arrhythmia is a life-threatening cardiac condition characterized by irregular heart rhythm. Early and accurate detection is crucial for effective treatment. However, single-lead electrocardiogram (ECG) methods have limited sensitivity and specificity.

Automatic echocardiographic anomalies interpretation using a stacked residual-dense network model.

Echocardiographic interpretation during the prenatal or postnatal period is important for diagnosing cardiac septal abnormalities. However, manual interpretation can be time consuming and subject to human error. Automatic segmentation of echocardiogram can support cardiologists in making an initial interpretation.

A Bioinformatics Assessment Indicating Better Outcomes With Breast Cancer Resident, Immunoglobulin CDR3-MMP2 Binding.

Background/aim: The recombination of V, D, and J immunoglobulin (IG) gene segments leads to many variations in the amino acids (AAs) encoded at that site, the complementarity determining region-3 (CDR3). Thus, cancer patients may have varying degrees of CDR3 AA binding specificity for cancer proteases, for example, matrix metalloproteinase 2 (MMP2). MMP2 in breast cancer has been found to contribute to metastasis and is used as a marker for tumor staging.

An Unusual Cause of Acute Abdominal Pain in Coronavirus Disease (COVID-19): Report of Two Cases.

Unlabelled: Coronavirus disease-2019 (COVID-19) is an infectious disease caused by coronavirus/2019-nCoV. It primarily manifests as lung infection, with fever and respiratory tract symptoms. Extrapulmonary complications affecting multiple organs are commonly seen, especially in critically ill patients.