[The winning works of the Scientific Council of the Israel Medical Association (IMA) Award for Excellence in Basic Sciences for 2024].

The winning works of the Scientific Council of the Israel Medical Association (IMA) Award for Excellence in Basic Sciences for 2024.

Transcatheter edge-to-edge mitral valve repair in patients with acute decompensated heart failure due to severe mitral regurgitation.

Background: Transcatheter edge-to-edge mitral valve repair (TEER) has been established as a therapy for severe symptomatic mitral regurgitation (MR) in stable patients, and it has recently emerged as a reasonable option for acutely ill patients. The aim of this study was to evaluate the safety and efficacy of TEER in hospitalized patients with acute decompensated heart failure (ADHF) and severe MR that was deemed to play a major role in their deterioration.

Methods: We included 31 patients who underwent emergent TEER for MR ≥ 3+ from 2012 to 2022 at Sheba Medical Center.

Autoimmune Neutropenia Associated With HHV-6 Virus Infection: A Case Report.

Background: Autoimmune neutropenia (AIN) is divided into primary and secondary forms. The former is more prevalent in children and is usually a self-limiting disease. Secondary AIN is more common in adults and often occurs in the setting of another autoimmune disorder or secondary to infections, malignancies or medications.

[ETHICAL CHALLENGES IN TREATING CRITICAL CORONAVIRUS PATIENTS: EXPERIENCE FROM THE SHEBA MEDICAL CENTER ON THE FIRST COVID-19 PANDEMIC OUTBREAK].

As the coronavirus pandemic emerged in late 2019, a task force was founded in the Sheba Medical Center and began preparing for the arrival of the pandemic to Israel. Several wards were put in charge of isolated COVID-19 patients. A new intensive care unit was formed for the most critical COVID-19 patients, requiring mechanical ventilation and multi-organ treatment.

Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.

Hierarchical variants of so-called deep convolutional neural networks (DCNNs) have facilitated breakthrough results for numerous pattern recognition tasks in recent years. We assess the potential of these novel whole-image classifiers for Raman-microscopy-based cytopathology. Conceptually, DCNNs facilitate a flexible combination of spectral and spatial information for classifying cellular images as healthy or cancer-affected cells.