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Co-Designing Priority Components of an mHealth Intervention to Enhance Follow-Up Care in Young Adult Survivors of Childhood Cancer and Health Care Providers: Qualitative Descriptive Study

Co-Designing Priority Components of an mHealth Intervention to Enhance Follow-Up Care in Young Adult Survivors of Childhood Cancer and Health Care Providers: Qualitative Descriptive Study

Participant responses to community engagement event evaluation (n=8)a for section 1 (overview of the workshop)b. a A total of 8 attendees, including 4 survivors of childhood cancer, 1 caregiver, 2 family members, and 1 researcher, completed the evaluation. b Attendees were asked to rate the extent to which they agreed with statements in this table, using a rating scale where 1=strongly disagree and 5=strongly agree.

Sharon H J Hou, Brianna Henry, Rachelle Drummond, Caitlin Forbes, Kyle Mendonça, Holly Wright, Iqra Rahamatullah, Perri R Tutelman, Hailey Zwicker, Mehak Stokoe, Jenny Duong, Emily K Drake, Craig Erker, Michael S Taccone, Liam Sutherland, Paul Nathan, Maria Spavor, Karen Goddard, Kathleen Reynolds, Fiona S M Schulte

JMIR Cancer 2025;11:e57834

Enhancing Bidirectional Encoder Representations From Transformers (BERT) With Frame Semantics to Extract Clinically Relevant Information From German Mammography Reports: Algorithm Development and Validation

Enhancing Bidirectional Encoder Representations From Transformers (BERT) With Frame Semantics to Extract Clinically Relevant Information From German Mammography Reports: Algorithm Development and Validation

American College of Radiology Type B bilaterally BI-RADS (Breast Imaging Reporting and Data System) 3 on the left BI-RADS 1 on the right. To assess how closely the synthetic reports resemble the real reports in terms of their semantic content, we adopted a cosine similarity-based methodology: We used gte-Qwen2-1.5 B-instruct as an embedding model [37]. In detail, we sampled a stratified set of 21 real reports from the validation dataset.

Daniel Reichenpfader, Jonas Knupp, Sandro Urs von Däniken, Roberto Gaio, Fabio Dennstädt, Grazia Maria Cereghetti, André Sander, Hans Hiltbrunner, Knud Nairz, Kerstin Denecke

J Med Internet Res 2025;27:e68427

The Comprehensive Adaptive Multisite Prevention of University Student Suicide Trial: Protocol for a Randomized Controlled Trial

The Comprehensive Adaptive Multisite Prevention of University Student Suicide Trial: Protocol for a Randomized Controlled Trial

The primary goal of aim 1 is to identify the most effective ATS among the 4 embedded strategies (A+B, A+C, D+E, or D+F, as shown in Table 2) that leads to the greatest reduction in STB. This aim focuses on finding the best-performing ATS rather than testing a hypothesis. The sample size of 480 was found to ensure an 80% probability of correctly identifying the ATS with the lowest mean outcome, assuming that such a strategy exists.

Kyla Blalock, Jacqueline Pistorello, Shireen L Rizvi, John R Seeley, Francesca Kassing, James Sinclair, Linda A Oshin, Robert J Gallop, Cassidy M Fry, Ted Snyderman, David A Jobes, Jennifer Crumlish, Hannah R Krall, Susan Stadelman, Filiz Gözenman-Sapin, Kate Davies, David Steele, David B Goldston, Scott N Compton

JMIR Res Protoc 2025;14:e68441

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

(B) Top-down view of the electrography electrode positions on the subject’s head according to the 10-20 system, standard for electrography recordings. The device includes two forehead electrodes (AF7 and AF8), reference electrodes at FPz, and conductive rubber ear sensors at TP9 and TP10. The FPz electrode serves as a reference point and is positioned at the midline of the forehead.

Isaac Treves, Zia Bajwa, Keara D Greene, Paul A Bloom, Nayoung Kim, Emma Wool, Simon B Goldberg, Susan Whitfield-Gabrieli, Randy P Auerbach

J Med Internet Res 2025;27:e68204