Hemophilia is a rare inherited bleeding disorder characterized by the blood's inability to clot and could result in potentially life-threatening spontaneous bleeding into joints, organs, and tissues. Moreover, long-term management of this chronic disease is complex and costly. Current scientific evidence demonstrates that personalized digital health technologies could promote and facilitate the self-management of chronic diseases. This study introduces HemPHL a Personal Health Library and mHealth Recommender platform to gather, manage, and exchange tailored health information and recommendations to facilitate self-management and home therapy among individuals with hemophilia. The proposed digital health solution will adopt novel data science, artificial intelligence tools and techniques to manage and use information, as well as promote best practices for health education to enable patients to make informed decisions about their health. To accomplish this, an array of complex health and non-health information will be obtained from multi-dimensional sources to develop a secure, single access point of information for patient use. Patient's access to personalized health information could harness their engagement and independence as well as empower them to remotely monitor their health progress and improve compliance with treatment plans. This hemophilia-focused, user-centered app can markedly improve patients' clinical outcomes and overall quality of life.
Introduction: Pyoderma gangrenosum (PG) is a rare neutrophilic dermatosis characterized by rapidly enlarging, painful ulcers with undermined borders. The management of PG is challenging due to the lack of standardized evidence-based treatments.
Areas Covered: This review examines recent efforts to establish standardized outcomes for clinical trials to facilitate the drug development process for PG.
Division of Occupational Medicine, Department of Environmental Health and Climate Science, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Mesenchymal stem cells (MSCs) are promising candidates for regenerative therapies due to their self-renewal and differentiation capabilities. Pathological microenvironments expose MSCs to senescence-inducing factors such as reactive oxygen species (ROS), resulting in MSC functional decline and loss of stemness. Oxidative stress leads to mitochondrial dysfunction, a hallmark of senescence, and is prevalent in aging tissues characterized by elevated ROS levels.
Purpose: Individual-level state-transition microsimulations (iSTMs) have proliferated for economic evaluations in place of cohort state transition models (cSTMs). Probabilistic economic evaluations quantify decision uncertainty and value of information (VOI). Previous studies show that iSTMs provide unbiased estimates of expected incremental net monetary benefits (EINMB), but statistical properties of iSTM-produced estimates of decision uncertainty and VOI remain uncharacterized.
Background: The increasing prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), parallels the rise in sedentary lifestyles. MASLD is the most common form of steatotic liver disease (SLD), which represents the umbrella beneath which the vast majority of chronic liver diseases fall, including alcohol-related liver disease and their overlap. These conditions are the leading contributors to chronic liver disease, significantly impacting global morbidity and mortality.
