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Mapping the Landscape of Digital Health Intervention Strategies: 25-Year Synthesis.
J Med Internet Res
January 2025
School of Journalism and Communication, Beijing Normal University, Beijing, China.
Background: Digital health interventions have emerged as promising tools to promote health behavior change and improve health outcomes. However, a comprehensive synthesis of strategies contributing to these interventions is lacking.
Objective: This study aims to (1) identify and categorize the strategies used in digital health interventions over the past 25 years; (2) explore the differences and changes in these strategies across time periods, countries, populations, delivery methods, and senders; and (3) serve as a valuable reference for future researchers and practitioners to improve the effectiveness of digital health interventions.
Innovations in RNA therapeutics: a review of recent advances and emerging technologies.
Nucleosides Nucleotides Nucleic Acids
January 2025
Faculty of Agriculture and Allied Sciences, C.V. Raman Global University, Bhubaneswar, India.
The field of biomedical science has witnessed another milestone with the advent of RNA-based therapeutics. This review explores three major RNA molecules, namely: messenger RNA (mRNA), RNA interference technology (RNAi), and Antisense Oligonucleotide (ASO), and analyses U.S.
View Article and Find Full Text PDFEffect of physical exercise on white matter microstructure in chemotherapy-treated breast cancer patients: a randomized controlled trial (PAM study).
Brain Imaging Behav
January 2025
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Physical exercise is a promising intervention to improve brain white matter integrity. In the PAM study, exercise intervention effects on white matter integrity were investigated in breast cancer patients. Chemotherapy-treated breast cancer patients with cognitive problems were randomized 2-4 years post-diagnosis to an exercise (n = 91) or control group (n = 90).
View Article and Find Full Text PDFApplication of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.
Int J Cardiovasc Imaging
January 2025
Artificial Intelligence Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.
View Article and Find Full Text PDFStress Management Program for Scanxiety in People With Advanced Lung Cancer: Intervention Adaptation and Stakeholder Feedback.
Psychooncology
January 2025
Cancer Prevention Precision Control Institute, Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, New Jersey, USA.
Background: Although scanxiety is common and impactful for people with advanced lung cancer, few interventions address this psychosocial concern.
Aims: To create a stress management program for scanxiety.
Methods: We conducted a structured intervention adaptation process guided by the ADAPT-ITT framework.
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