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Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study

Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study

While previous studies have examined the utility of mobile apps, social media, e-consenting tools, blockchain technology, web-based programs, and online messaging to improve clinical trial enrollment, few have specifically addressed the unique barriers faced by the young adult population. Yet, digital modalities have grown in popularity among this population for many indications including disease interventions and browsing emerging health information [13-15].

Tim Mackey, Raphael E Cuomo, Qing Xu, Tiana J McMann, Zhuoran Li, Mingxiang Cai, Christine Wenzel, Joshua S Yang

J Med Internet Res 2025;27:e70852

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

Web-Based Explainable Machine Learning-Based Drug Surveillance for Predicting Sunitinib- and Sorafenib-Associated Thyroid Dysfunction: Model Development and Validation Study

different percentages of outcome predictions, cutoff points were 0.851 for identifying the top 1% of patients (2 predictive positive cases, point A — high-risk threshold),0.500 for the top 3.5% (7 predictive positive cases, point B — default threshold), 0.495 for the top 4% (8 predictive positive cases, point C — optimal threshold based on the maximum F1-score), 0.272 for the top 8% (16 predictive positive cases, point D — equal threshold), and 0.071 for the top 26% of patients (51 predictive positive cases, point E

Fan-Ying Chan, Yi-En Ku, Wen-Nung Lie, Hsiang-Yin Chen

JMIR Form Res 2025;9:e67767

Examining a Telemedicine-Based Virtual Reality Clinic in Treating Adults With Specific Phobia: Protocol for a Feasibility Randomized Controlled Efficacy Trial

Examining a Telemedicine-Based Virtual Reality Clinic in Treating Adults With Specific Phobia: Protocol for a Feasibility Randomized Controlled Efficacy Trial

After obtaining informed consent, supported by the REDCap e-Consent Framework feature, participants will be automatically directed to baseline questionnaire surveys, for which REDCap auto-calculates the scores. Following completion of the baseline assessment, the participant will be randomized to their respective treatment conduction using the Randomization Module.

Kaitlyn R Schuler, Triton Ong, Brandon M Welch, Jason G Craggs, Brian E Bunnell

JMIR Res Protoc 2025;14:e65770