Depression and Risk of Sudden Cardiac Death and Arrhythmias: A Systematic Review and Meta-Analysis.

Background: Depression is a highly prevalent mental disorder worldwide and is often accompanied by various somatic symptoms. Clinical studies have suggested a close association between depression and cardiac electrophysiological instability, particularly sudden cardiac death (SCD) and arrhythmias. Therefore, this review systematically evaluated the association between depression and the risks of SCD, atrial fibrillation (AF), and ventricular arrhythmias.

Global burden of thyroid cancer attributed to high body mass index and predictive trends: estimated results from the global health data study, 1990-2021.

Background: Thyroid cancer is the most common endocrine tumor, impacting patients' quality of life and contributing to a significant societal burden. This study aims to estimate the global burden of thyroid cancer attributable to High Body Mass Index(HBMI) over the past 30 years.

Methods: The mortality rates, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) attributable to HBMI for thyroid cancer were extracted.

Novel Throat-Attached Piezoelectric Sensors Based on Adam-Optimized Deep Belief Networks.

This paper proposes an Adam-optimized Deep Belief Networks (Adam-DBNs) denoising method for throat-attached piezoelectric signals. The method aims to process mechanical vibration signals captured through polyvinylidene fluoride (PVDF) sensors attached to the throat region, which are typically contaminated by environmental noise and physiological noise. First, the short-time Fourier transform (STFT) is utilized to convert the original signals into the time-frequency domain.

Lentinan ameliorates angiotensin II-induced hypertension-associated intestinal barrier injury through inactivation of PSMB8-ATRAP signaling.

Intestinal barrier injury is a critical pathological alteration in hypertension. Angiotensin II (Ang II) type 1 receptor-associated protein (ATRAP), which negatively regulates Ang II-triggered hypertension, is modulated by the immunoproteasome subunit proteasome 20S subunit beta 8 (PSMB8). Lentinan (LNT), a polysaccharide found in Lentinus edodes, has anti-inflammatory and antioxidant properties.

User Satisfaction With Pregnancy Management Apps in Mainland China: User-Generated Content Analysis and Text Mining Study.

Background: China's 3-child policy has increased the demand for scientific and personalized pregnancy health management. The convenience of mobile health has promoted the use of pregnancy management apps among pregnant women. User satisfaction has a significant impact on continued use intention.

Key factors to improve the management of household hazardous waste.

Household Hazardous Waste (HHW), although produced in small quantities, is often mixed with other municipal waste, disrupting treatment processes and contaminating products such as compost from organic recycling. In this context, as of January 2025 European Union Member States have been required to implement separate collection for HHW. This research aims to address gaps in the scientific literature by examining citizens' knowledge and perceptions, which are key to the success of such systems, regarding the hazardous products they acquire and store at home.

Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controlled Trial.

Background: While effective physical activity (PA) interventions exist, interventions often work only for some individuals or only for a limited time. Thus, there is a need for digital health interventions that account for dynamic, idiosyncratic PA determinants to support each person's PA. We hypothesize that supporting individuals with their personal PA goals requires a personalized intervention that both supports each person in forming daily habits of walking more and develops personalized knowledge, skills, and practices regarding engaging in exercise routines.

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.

Background: Mental health issues have become a significant global public health challenge. Traditional assessments rely on subjective methods with limited ecological validity. Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring.

Automatic Image Recognition Meal Reporting Among Young Adults: Randomized Controlled Trial.

Background: Advances in artificial intelligence technology have raised new possibilities for the effective evaluation of daily dietary intake, but more empirical study is needed for the use of such technologies under realistic meal scenarios. This study developed an automated food recognition technology, which was then integrated into its previous design to improve usability for meal reporting. The newly developed app allowed for the automatic detection and recognition of multiple dishes within a single real-time food image as input.

An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study.

Background: Over 50% of newly diagnosed patients with breast cancer are aged ≥65 years. Due to age-related factors and the presence of comorbidities, these patients are particularly vulnerable to developing cardiac toxicity associated with cancer treatments, which may lead to suboptimal interventions and undertreatment, resulting in poorer health outcomes, quality of life (QoL) deterioration, and increased health care costs. Given the underrepresentation of older patients with breast cancer in clinical trials and the increasing recognition of the impact of psychosocial and behavioral factors on cardiovascular disease onset, broader and interdisciplinary studies are required to develop new and innovative best practices for this clinical population.

New Imaging Method of Mobile Phone-Based Colorimetric Sensor for Iron Quantification.

Blood iron levels are related to many health conditions, affecting hundreds of millions of individuals worldwide. To aid in the prevention and treatment of iron-related disorders, previous research has developed a low-cost, accurate, point-of-care method for measuring iron from a single finger-prick blood sample. This study builds upon that work by introducing an improved imaging method that accurately reads sensor images irrespective of variations in environmental illumination and camera quality.

Leveraging User-Centered Design and Usability and Skills Testing for a Novel Diabetes Survival Skills Toolkit.

Purpose: With the expansion of telemedicine, patient-centered approaches for delivering diabetes mellitus (DM) self-care education in both in-person and remote settings are needed. A novel Diabetes Survival Skills Toolkit (Kit) (physical toolkit, website, paper guide) was developed, using a user-centered design approach. The aim of this study was to develop a hybrid protocol to assess the perceived usability of the Kit and the skills attainment of its users.

Systematic review on the technology's role in supporting lung cancer patients in the treatment journey.

This systematic review examines the role of technology-based interventions in supporting lung cancer patients during their treatment. It identifies (1) the different technologies utilized, (2) their functions and benefits, and (3) the barriers encountered by patients. The authors searched six databases for literature examining the use of technology to support treatment among lung cancer patients.

Symbiopersonal intelligence towards symbiotic and personalized digital medicine.

In this perspective, we introduce the concept of Symbiopersonal Intelligence (SymAI)-a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and intelligent devices in digital medicine. SymAI represents a new frontier in personalized intelligent systems, adaptively learning from and catering to individual needs and behaviors. We explore its emergence and potential implementation in both personal and public healthcare, encompassing telemedicine, precision medicine, surgical assistance, chronic disease management, and policy optimization.

Impact of Initial Cardiology Telemedicine Evaluation on Follow-Up Visits for Common Conditions: Quasi-Experimental Study.

Background: Telemedicine use has increased significantly in cardiology clinics, but the impact of initial telemedicine evaluation on total visit usage is unknown.

Objective: This study aimed to determine the effect of initial telemedicine evaluation on the number of follow-up visits within 6 months for common cardiovascular conditions at an academic health system.

Methods: Electronic health records data were extracted for general cardiology visits.

An Electrocardiogram Foundation Model Built on over 10 Million Recordings.

Background: Artificial intelligence (AI) has demonstrated significant potential in electrocardiogram (ECG) analysis and cardiovascular disease assessment. Recently, foundation models have played a remarkable role in advancing medical AI, bringing benefits such as efficient disease diagnosis and cross-domain knowledge transfer. The development of an ECG foundation model holds the promise of elevating AI-ECG research to new heights.

Implementation and effectiveness of Teleneonatology for neonatal intensive care unit consultations in the Netherlands: a hybrid type III implementation pilot.

Background: Real-time audiovisual communication between healthcare providers (HCP) at different hospitals (TeleNeonatology) can improve neonatal outcomes, address capacity challenges, and reduce emotional burden on parents. Despite its potential, TeleNeonatology has yet to be widely implemented in routine clinical care, partly due to non-optimal integration into care pathways and working routines. To provide insights for further adoption, this study presents the evaluation of a pilot in the Netherlands.

Wearable Devices in Scoliosis Treatment: A Scoping Review of Innovations and Challenges.

Scoliosis is one of the most common spinal deformities, which affects millions of people worldwide. Bracing and physiotherapy exercises represent the first-line, non-invasive approaches for managing scoliosis. In recent years, the use of wearable devices has spread as a novel approach to the treatment of scoliosis.

The disease burden of gout in Asian countries and regions from 1990 to 2021, risk factors and forecast analysis: A systematic study of Asian disease burden in 2021.

Objective: Use the Global Burden of Disease (GBD) database to obtain gout's disease burden indicators, risk factors, 1990-2021 data in Asian countries/regions and 2050 forecast data for gout prevention and control basis.

Methods: Collect gout prevalence, incidence etc. from global burden of disease data in Asia, stratified by gender and age, analyze with statistical charts.

Health technology adoption Framework's evaluation.

Objective: This study aimed to evaluate the quality, relevance and utility of a recently proposed Framework for developing adoptable and scalable Remote Patient Management Systems (FRPMS) through consensus-assessment among experts.

Method: A modified Delphi approach was used with 15 experts from diverse fields, including health promotion, behavior change, digital health technology design, implementation science, and digital health policymaking, in two rounds of evaluations. The study focused on assessing the FRPMS's principles, feasibility, and potential outcomes.

Incidence trends and age-period-cohort analysis of Alzheimer's disease and other dementias in the world and China from 1990 to 2021: analyses based on the Global Burden of Disease Study 2021.

Background: With the accelerating global population aging, the incidence rates of Alzheimer's disease and other dementias (ADOD) continue to rise sharply, presenting a pressing public health challenge worldwide. In China, where population aging is occurring at an unprecedented rate, the epidemiological trajectory of ADOD has garnered significant attention. The marked increase in incidence rates has imposed a substantial burden on both society and families, driven by direct healthcare costs, long-term care demands, and productivity losses among caregivers.

Association Between Weight-Adjusted Waist Circumference Index and Metabolic Disease-Associated Fatty Liver Disease: A Retrospective Study.

Background: Metabolic disease-associated fatty liver disease has brought significant challenges to public health and social-economics. There is a need for a straightforward and effective method to screen for metabolic disease-associated fatty liver disease. The weight-adjusted waist circumference index offers a comprehensive reflection of visceral fat accumulation and skeletal muscle loss.

Decoupling Pharmaceutical Contamination and Antibiotic Resistance Risks in Mid-Yangtze Drinking Water Systems: The Pivotal Role of Nutrient-Driven Horizontal Gene Transfer.

The Yangtze River, a critical drinking water source for over 500 million people, faces escalating contamination from pharmaceuticals and antibiotic resistance genes (ARGs). This study systematically investigated 11 water sources and 39 tap water sites in the Mid-Yangtze River, quantifying 10 pharmaceuticals and 384 ARGs via ultra-trace analysis (UPLC-MS/MS) and HT-qPCR. Pharmaceuticals occurred at low total concentrations (1.

A personalised, gait training telerehabilitation programme for people with Parkinson's Disease: A long-term pilot study.

ObjectiveTo assess the feasibility and, preliminarily, the effectiveness of long-term, personalized gait training using a digital wearable system (Gait Tutor) that provides real-time audio biofeedback to correct or reinforce gait behaviour.DesignOpen-label and non-controlled, with assessments before and after intervention.SettingReal-world.