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Prevention Needs and Target Behavior Preferences in an App-Based Addiction Prevention Program for German Vocational School Students: Cluster Randomized Controlled Trial

Diana Guertler, Elaine Kraft, Dominic Bläsing, Anne Möhring, Christian Meyer, Hannah Schmidt, Florian Rehbein, Merten Neumann, Arne Dreißigacker, Anja Bischof, Gallus Bischof, Svenja Sürig, Lisa Hohls, Susanne Wurm, Stefan Borgwardt, Severin Haug, Hans-Jürgen Rumpf

JMIR Mhealth Uhealth 2025;13:e59573

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Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

Joanne R Beames, Omar Dabash, Michael J Spoelma, Artur Shvetcov, Wu Yi Zheng, Aimy Slade, Jin Han, Leonard Hoon, Joost Funke Kupper, Richard Parker, Brittany Mitchell, Nicholas G Martin, Jill M Newby, Alexis E Whitton, Helen Christensen

JMIR Form Res 2025;9:e71377

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Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model

Susan T Parker

JMIR AI 2025;4:e68212

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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

JMIR Cancer 2025;11:e64506

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Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study

Katherine Sterba, Evan Graboyes, Jessica Burris, Megan Scallion, Hannah Kinder, Jama Olsen, Benjamin Toll, Kent Armeson, Terry Day, Bhishamjit Chera, Kenneth Ruggiero

JMIR Cancer 2025;11:e66471

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Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study

Alexander Brehmer, Constantin Seibold, Jan Egger, Khalid Majjouti, Michaela Tapp-Herrenbrück, Hannah Pinnekamp, Vanessa Priester, Michael Aleithe, Uli Fischer, Bernadette Hosters, Jens Kleesiek

JMIR AI 2025;4:e67356

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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

JMIR Form Res 2025;9:e59631

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

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

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The Benefits of Integrating Electronic Medical Record Systems Between Primary and Specialist Care Institutions: Mixed Methods Cohort Study

Kim Huat Goh, Adrian Yong Kwang Yeow, Le Wang, Hermione Poh, Hannah Jia Hui Ng, Gamaliel Tan, Soon Khai Wee, Er Luen Lim, Jared Louis Andre D’Souza

J Med Internet Res 2025;27:e49363

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Impact of Disclosing to Patients the Use of Antiretroviral Resistance Testing Results for Molecular HIV Surveillance: A Randomized Experiment in 2 National Surveys

Jeremy Sugarman, Juli Bollinger, Jose Agostini, Kevin Weinfurt, Gail Geller, Sheethal Jose, Marissa Hannah, O. Winslow Edwards, Leslie Meltzer Henry, Travis Sanchez

JMIR Public Health Surveill 2025;11:e64663

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