How AlphaGenome Is Transforming the Prediction of Genetic Variant Effects
Understanding how genetic variants influence gene regulation remains a central challenge in human genomics, particularly for the vast majority of variants that lie outside protein-coding regions. Interpreting non-coding variants remains a major challenge, as more than 98% of human genetic variation occurs outside coding sequences and can influence gene regulation through chromatin state, transcription, splicing, […]
What Do Adolescents Think About an App Designed to Reduce Cognitive Risk Factors for Eating Disorders? A Mixed Methods Study
Behav Ther. 2026 Jan;57(1):147-161. doi: 10.1016/j.beth.2025.07.005. Epub 2025 Aug 7. ABSTRACT In recent years, there has been a growing interest in eHealth interventions as a means of reducing risk factors related to eating disorders (EDs). However, these interventions are often faced with high dropout rates and low adherence. The objective of this study was to […]
The Next Pandemic Candidates? Influenza D and Canine Coronavirus Under Scrutiny
The 2009 and 2019 pandemics underscore the ongoing threat posed by respiratory viruses. Emerging Influenza D virus (IDV) and canine coronavirus HuPn-2018 (CCoV-HuPn-2018) show epidemic potential, yet global diagnostics and surveillance remain insufficient. Gregory C. Gray et al. published a perspective article related to these viruses in Emerging Infectious Diseases. In 2011, IDV was first […]
Detection of Suspected Paper Mill Publications in Cancer Research Using Machine Learning
Paper mills, commercial entities that manufacture and sell academic manuscripts, have become a growing threat to research integrity, specifically in the biomedical sciences. These organizations produce large volumes of manuscripts using standardised templates, fabricated or manipulated data, and false authorship arrangements. Cancer research is particularly vulnerable to intense publication pressure, relatively uniform experimental designs, and […]
Patterns and Characteristics of Mobile App Use to Promote Wellness and Manage Illness: Cross-Sectional Study
J Med Internet Res. 2026 Jan 30;28:e71363. doi: 10.2196/71363. ABSTRACT BACKGROUND: Mobile health (mHealth) apps target diverse health behaviors, but engagement may vary by purpose. OBJECTIVE: This study examined the prevalence, usage patterns, and user characteristics of mHealth apps among Czech adults with internet access, focusing on sociodemographics, digital knowledge and use, and health indicators […]
Design and usability testing of SmartSHOTS: A mobile app to reduce vaccine barriers for children 0-24 months
Health Informatics J. 2026 Jan-Mar;32(1):14604582261419334. doi: 10.1177/14604582261419334. Epub 2026 Jan 29. ABSTRACT According to the Immunization Status Survey conducted by the Tennessee Department of Health in 2023, Tennessee ranks in the bottom 25th percentile among states for vaccination rates by the age of 24 months, based on the full series of recommended vaccines. To tackle […]
The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment
JMIR Mhealth Uhealth. 2026 Jan 30;14:e68737. doi: 10.2196/68737. ABSTRACT BACKGROUND: Mobile apps are being increasingly used to foster healthy lifestyles. There is a growing need for clear, standardized guidelines to help users select safe and effective health apps. OBJECTIVE: Our study aimed to highlight the importance of establishing a structured framework for quality evaluation in […]
Effects of Using a Smartphone App Combined With Behavior Change Techniques on the Level of Physical Activity Among Adults and Older Adults: Sequential Multiple Assignment Randomized Trial
J Med Internet Res. 2026 Jan 30;28:e73388. doi: 10.2196/73388. ABSTRACT BACKGROUND: The use of tools, such as smartphone apps, to increase the level of physical activity (PA) decreases over time. Adaptive intervention trials have been recommended to test technology-based interventions owing to the possibility of adapting interventions based on individual responses. OBJECTIVE: This study aimed […]
Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study
JMIR Med Inform. 2026 Jan 30;14:e80969. doi: 10.2196/80969. ABSTRACT BACKGROUND: Venous thromboembolism (VTE) is a common and severe complication in intensive care unit (ICU) patients with sepsis. Conventional risk stratification tools lack sepsis-specific features and may inadequately capture complex, nonlinear interactions among clinical variables. OBJECTIVE: This study aimed to develop and validate an interpretable machine […]
Optimizing HIV Care Engagement: Usability of a mHealth App for Identifying and Retaining Individuals with Nonviral Suppression in Digital Cohort
Appl Clin Inform. 2026 Jan;17(1):39-45. doi: 10.1055/a-2786-0291. Epub 2026 Jan 30. ABSTRACT Drive to Zero is a mobile health application (app) designed to identify and retain people with HIV (PWH) who have experienced challenges with achieving or maintaining viral suppression. The app targets PWH who have lacked documented HIV care in the past months and […]
