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Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Reduction of Salt and Sugar Contents in Canteen Foods and Intakes By Students and Staff at a Malaysian Higher Education Institution: Protocol for a Mixed Methods Study

Categorical variables will be reported as frequencies (percentages) and compared using chi-square tests or Fisher exact tests where appropriate. To account for individual dietary variability, including meals consumed outside campus, several adjustments will be made.

Yook Chin Chia, Yee-How Say, Maong Hui Cheng, Felicia Fei Lei Chung, Tze Pheng Lau, Pei Boon Ooi

JMIR Res Protoc 2025;14:e69610

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study

Univariate analysis was performed using 2-tailed t tests and chi-square tests to identify significant differences between the p CR and non-p CR groups. Features that exhibited statistical significance (P The performance of the model was evaluated using accuracy and the area under the receiver operating characteristic curve (AUROC).

Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

JMIR Cancer 2025;11:e64685

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

For example, Huang et al [19] successfully identified the liver-gallbladder dampness-heat syndrome in patients with breast cancer using a dataset based on the prescriptions of TCM clinical practitioners. Zhuo et al [20] effectively differentiated Qi deficiency blood stasis syndrome and phlegm stasis in channels syndrome in patients with stroke through artificial intelligence–assisted retinal feature analysis.

Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

JMIR Med Inform 2025;13:e64725

A Personalized, Texting-Based Conversational Agent to Address Sleep Disturbance in Individuals Who Have Survived Breast Cancer: Protocol for a Pilot Waitlist Randomized Controlled Trial

A Personalized, Texting-Based Conversational Agent to Address Sleep Disturbance in Individuals Who Have Survived Breast Cancer: Protocol for a Pilot Waitlist Randomized Controlled Trial

To determine if group differences are present after randomization, descriptive statistics of baseline characteristics (eg, age, cancer severity, and time since treatment) will be generated, and the treatment and control groups will be compared with t tests for continuous variables and chi-square tests for categorical variables.

Chi-shan Tsai, Warren Szewczyk, Michelle Drerup, Jason Liao, Alexi Vasbinder, Heather Greenlee, Jaimee L Heffner, Rachel Yung, Kerryn W Reding

JMIR Res Protoc 2025;14:e62712

Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis

Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis

Categorical data were compared using the chi-square test or Fisher exact test, where appropriate. For continuous data, the Student t test or Mann‒Whitney U test was used. A 2-sided P value of The study population consisted of 461 patients who underwent radical gastrectomy. The proportion of patients with HER2 overexpression, PD-L1 positive status (CPS≥1), and MSI-H status was 5.4% (25/461), 24.1% (111/461), and 5.6% (26/461), respectively.

Shiqi Wang, Na Chai, Jingji Xu, Pengfei Yu, Luguang Huang, Quan Wang, Zhifeng Zhao, Bin Yang, Jiangpeng Wei, Xiangjie Wang, Gang Ji, Minwen Zheng

JMIR Cancer 2025;11:e67379