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Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Probability histogram stacked with invalid and valid number of patients (x-axis: probability predicted to be valid; y-axis: number of patients). ALT: alanine aminotransferase; AST: aspartate aminotransferase. Accumulative results of valid participant identification for clinical trials (x-axis: number of predicted data; y-axis: number of valid data). ALT: alanine aminotransferase; AST: aspartate aminotransferase.

Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon

JMIR AI 2025;4:e64845

Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study

Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study

The x-axis of each graph represents the respective continuous variables, whereas the y-axis shows the HRs, indicating the impact of the variables on CVD occurrence. The solid line represents the estimated HRs and the dashed lines indicate the 95% CIs. The first column shows the relationship between the BMI and CVD risk.

Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

J Med Internet Res 2025;27:e67525

Effectiveness of Topic-Based Chatbots on Mental Health Self-Care and Mental Well-Being: Randomized Controlled Trial

Effectiveness of Topic-Based Chatbots on Mental Health Self-Care and Mental Well-Being: Randomized Controlled Trial

While some might question the loss of human touch with these virtual agents, Park et al [13] demonstrated that chatbots created with humanlike characteristics and interaction styles can elicit cooperation and trust from users, boosting the effectiveness of mental health therapies. Bickmore et al [14] also showed that individuals could develop therapeutic bonds with chatbots just as well as with human therapists, and sometimes prefer them over humans [15].

Alan C Y Tong, Kent T Y Wong, Wing W T Chung, Winnie W S Mak

J Med Internet Res 2025;27:e70436

Relationship Between Within-Session Digital Motor Skill Acquisition and Alzheimer Disease Risk Factors Among the MindCrowd Cohort: Cross-Sectional Descriptive Study

Relationship Between Within-Session Digital Motor Skill Acquisition and Alzheimer Disease Risk Factors Among the MindCrowd Cohort: Cross-Sectional Descriptive Study

Y-axis represents the probability a participant is classified as a carrier or noncarrier based on their mean response time. The blue line represents the binomial relationship between response time and carrier status with faster response time more associated with being a carrier and slower response time more associated with being a noncarrier. The gray ribbon represents the 95% CI of the estimated probability of binomial relationship. (B) Mean Super G time in target between female and male participants.

Andrew Hooyman, Matt J Huentelman, Matt De Both, Lee Ryan, Kevin Duff, Sydney Y Schaefer

JMIR Aging 2025;8:e67298