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Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

This includes conditions with primary pathology anchored in the central nervous system (CNS—ie, neurodevelopmental, neuropsychiatric, and neurodegenerative disorders, as well as trauma), as well as CNS impairment secondary to other drivers of brain dysfunction (eg, “brain fog” following chemotherapy, chimeric antigen receptor T-cell, or radiation therapy, COVID-19).

John Frederick Dyer, Florentine Marie Barbey, Ayan Ghoshal, Ann Marie Hake, Bryan J Hansen, Md Nurul Islam, Judith Jaeger, Rouba Kozak, Hugh Marston, Mark Moss, Viet Nguyen, Rebecca Louise Quinn, Leslie A Shinobu, Elizabeth Tunbridge, Brian Murphy, Niamh Kennedy

J Med Internet Res 2025;27:e55469

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

The data used in this study were part of a randomized controlled trial examining a just-in-time mobile health intervention (ie, relational savoring) [55,56] designed to prevent loneliness (the study by Nguyen et al [unpublished data, 2024] provides an overview of the design of the intervention component of the study).

Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

JMIR Form Res 2025;9:e67964

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective

This study was conducted at a single center in Thai Nguyen, Vietnam. It is valuable to explore how variations in HBV circulation rates, genotypes, and health care practices across different regions of the country might influence both the detection and relevance of the study. Thai Nguyen, where the research took place, serves as the economic, political, and social hub of the northeastern region, the Central Highlands, and the northern mountainous areas of Vietnam.

Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

JMIR Form Res 2025;9:e69838