An AI-Digital Pathology Algorithm Predicts Survival after Radical Prostatectomy from the PLCO Trial.

Purpose: Clinical variables alone have limited ability to determine which patients will have recurrence after radical prostatectomy (RP). We evaluated the ability of locked multimodal artificial intelligence (MMAI) algorithms trained on prostate biopsy specimens to predict prostate cancer specific mortality (PCSM) and overall survival (OS) among patients undergoing radical prostatectomy with digitized RP specimens.

Materials And Methods: The Prostate, Lung, Colorectal, and Ovarian Cancer Screening Randomized Controlled Trial randomized subjects from 1993-2001 to cancer screening or control.

Therapeutic effects of platelet-derived extracellular vesicles on viral myocarditis correlate with biomolecular content.

Introduction: Extracellular vesicles (EVs) can potently inhibit inflammation yet there is a lack of understanding about the impact of donor characteristics on the efficacy of EVs. The goal of this study was to determine whether the sex and age of donor platelet-derived EVs (PEV) affected their ability to inhibit viral myocarditis.

Methods: PEV, isolated from men and women of all ages, was compared to PEV obtained from women under 50 years of age, which we termed premenopausal PEV (pmPEV).

Etiology and Phenotypes of Cardiomyopathy in Southern Africa: The IMHOTEP Multicenter Pilot Study.

Background: Cardiomyopathies are an important cause of heart failure in Africa yet there are limited data on etiology and clinical phenotypes.

Objectives: The IMHOTEP (African Cardiomyopathy and Myocarditis Registry Program) was designed to systematically collect data on individuals diagnosed with cardiomyopathy living in Africa.

Methods: In this multicenter pilot study, patients (age ≥13 years) were eligible for inclusion if they had a diagnosis of cardiomyopathy or myocarditis.

Global Health Inequities in Electrophysiology Care: A State-of-the-Art Review.

This state-of-the-art review examines disparities in the diagnosis, management, and outcomes of cardiac arrhythmias globally. These arrhythmias include atrial fibrillation, ventricular tachyarrhythmias underlying sudden cardiac death, and bradyarrhythmias associated with sinus node and atrioventricular node disease. Arrhythmias in low- and middle-income countries often result in higher mortality rates due to complex and poorly documented risk factors, lack of clinical expertise among health care personnel, lack of sufficient infrastructure, and challenges in access to care.

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High- Resolution Short Echo Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep-learning method for quantification of high-resolution short echo-time (TE) echo-planar spectroscopic imaging (EPSI) datasets, with the goal of addressing the computational bottleneck of conventional spectral quantification methods in the clinical workflow. Materials and Methods This retrospective study included 89 short-TE whole-brain EPSI/GRAPPA scans from clinical trials for glioblastoma (Trial 1, May 2014-October 2018) and major-depressive-disorder (Trial 2, 2022- 2023). The training dataset included 685k spectra from 20 participants (60 scans) in Trial 1.