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Background: Cardiac rehabilitation (CR) programs have shown promising results in tertiary prevention. However, achieving sustained behavioral changes remains a challenge.
Objective: The TIMELY project aims to develop and evaluate a personalized, artificial intelligence-driven eHealth platform and app to support sustainable behavior change during phase-3 CR, subsequently reducing cardiac risk scores.
Methods: An international, multicenter, randomized controlled trial will be conducted to evaluate the effectiveness of the TIMELY integrated platform and app. A total of 360 patients with cardiac conditions will be approached to participate in the study across Germany, Spain, and the Netherlands. Patients will be randomly assigned (1:1) to either the intervention group or the control group (care as usual). The intervention group will receive fully web-based, behavior change support through the TIMELY app, with personalized exercise prescription, chatbot assistance, and monitoring devices (eg, activity watch). Both groups will continue to receive care as usual, complete validated questionnaires, undergo physical tests, and provide blood samples. Assessments will be conducted at baseline and at 3, 6, and 12 months.
Results: Trial recruitment has been finalized in July 2024. A total of 358 patients have been recruited and randomly assigned to the intervention (n=180, 50.1%) or care-as-usual (n=178, 49.7%) condition. As of January 2025, the 6-month follow-up has been completed for all participants. Follow-up data collection will be completed in May 2025. Results regarding the primary and secondary objectives are expected in September 2025.
Conclusions: This project will test a personalized platform and app, supported by artificial intelligence and designed to support health behavior change during phase-3 CR. It will target multiple health behaviors, with a primary focus on physical activity and fitness levels, using an integrated approach.
Trial Registration: ClinicalTrials.gov NCT05955625; https://clinicaltrials.gov/ct2/show/NCT05955625.
International Registered Report Identifier (irrid): DERR1-10.2196/66283.
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http://dx.doi.org/10.2196/66283 | DOI Listing |
J Med Internet Res
September 2025
Digital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.
Background: Noncommunicable diseases are the leading cause of death, present economic challenges to health care systems worldwide, and disproportionally affect vulnerable individuals with low socioeconomic status (SES). While digital health interventions (DHIs) offer scalable and cost-effective solutions to promote health literacy and encourage behavior change, key challenges concern how to effectively reach and engage vulnerable individuals. To this end, social media influencers provide a unique opportunity to reach millions, and lasting engagement can be ensured through the design of DHIs in a manner that specifically appeals to low-SES individuals through alignment with their social background.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
David Price Evans Global Health and Infectious Diseases Group, Pharmacology & Therapeutics, Institute of Systems Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7BE, UK.
Early diagnosis of Alzheimer's disease (AD) is hindered by the high cost, complexity, and centralization of current diagnostic platforms such as enzyme-linked immunosorbent assay (ELISA) and single-molecule array (SIMOA). Here, an integrated point-of-care (PoC) biosensing platform is reported based on redox-active polyphenol red molecularly imprinted polymers (pPhR MIPs) deposited on highly porous gold (HPG) electrodes for the ultrasensitive, reagent-free detection of phosphorylated tau 181 (p-tau 181) in undiluted plasma and serum. The unique electrochemical interface combines the signal-enhancing properties of HPG with the redox functionality of pPhR, eliminating the need for external redox probes.
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September 2025
Electrophoresis is essential in molecular biology, providing critical data for genetic research. However, manual interpretation of DNA band patterns in electrophoresis images, particularly for dominant molecular markers, remains challenging and prone to errors. This study applied YOLO (You Only Look Once), an advanced object detection model, to automate electrophoresis gel analysis.
View Article and Find Full Text PDFFront Public Health
September 2025
Independent Researcher (Electrical and Electronics Engineering), National Taiwan University, Taipei, Taiwan.
Background: Sarcopenia and osteoporosis increase the likelihood of disability and caregiving burden. While progressive resistance training (PRT) is effective in mitigating these outcomes, patients often struggle to find suitable, long-term training facilities, making it difficult to adhere to exercise prescriptions.
Objectives: This feasibility study aimed to familiarize patients with PRT through educational training by a geriatrician, enabling them to identify a suitable long-term community-based training program.
Econ Hum Biol
August 2025
The SMERU Research Institute, Jakarta Pusat 10330, Indonesia.
Many low- and middle-income countries (LMICs) are experiencing a nutrition transition from traditional diets to high-energy, processed foods, increasing non-communicable disease risks. Digitalization of food systems plays a significant role in shaping this transition. This paper investigates the impact of super app expansions (including food delivery, ridesharing, and other daily life assistance) on nutritional outcomes.
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