SciJava Ops: an improved algorithms framework for Fiji and beyond.

Decades of iteration on scientific imaging hardware and software has yielded an explosion in not only the size, complexity, and heterogeneity of image datasets but also in the tooling used to analyze this data. This wealth of image analysis tools, spanning different programming languages, frameworks, and data structures, is itself a problem for data analysts who must adapt to new technologies and integrate established routines to solve increasingly complex problems. While many "bridge" layers exist to unify pairs of popular tools, there exists a need for a general solution to unify new and existing toolkits.

Management of Pericardial Effusion in Patients With Solid Tumor: An Algorithmic, Multidisciplinary Approach Results in Reduced Mortality After Paradoxical Hemodynamic Instability.

Objective: This study compared outcomes in patients with solid tumor treated for pericardial effusion with surgical drainage versus interventional radiology (IR) percutaneous drainage and compared incidence of paradoxical hemodynamic instability (PHI) between cohorts.

Background: Patients with advanced-stage solid malignancies may develop large pericardial effusions requiring intervention. PHI is a fatal and underreported complication that occurs following pericardial effusion drainage.

Point-of-care Ultrasound (POCUS) Program for Critical Care Nurse Practitioners and Physician Assistants in an Oncological Intensive Care Unit and Rapid Response Team.

Implementation of a comprehensive point-of-care ultrasound (POCUS) program for nurse practitioners (NPs) and physician assistants (PAs) in an intensive care unit (ICU) setting improves their diagnostic and therapeutic skills and enhances patient care. Overcoming staffing, IT infrastructure, and administrative challenges has allowed our critical care medicine service to develop a successful program that empowers NPs and PAs and boosts their professional growth. Our POCUS program underscores the necessity of institutional support, dedicated mentorship, collaboration with qualified faculty, and creation and maintenance of a curriculum that adheres to accepted national guidelines.

Personality factors in patients with myasthenia gravis: A prospective study.

Introduction: In myasthenia gravis (MG), depression and anxiety have frequently been reported as comorbidities. However, little is known about personality characteristics in MG patients. We aimed to characterise personality traits in MG and to correlate them with disease severity and disease course.