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http://dx.doi.org/10.1001/jamanetworkopen.2024.25993 | DOI Listing |
Environ Sci Technol
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, Massachusetts 02115, United States.
Accurate attribution of the areas and populations impacted by climate-related events often relies on linear distance-based methods, where the study unit is assigned temperature data to the closest weather station. We developed a novel method and data pipeline that provides a grid-based measure of exposure to extreme heat and cold events called Grid EXposure (, enabling linkage to individual-level human health data at different spatial scales. GridEX automates the gathering of station-based climatological data and provides estimates of apparent temperature, offering a more comprehensive representation of human thermal comfort and perceived temperature.
View Article and Find Full Text PDFDigit Health
September 2025
Department of Electrical and Electronic Engineering, Varendra University, Rajshahi, Bangladesh.
Background: Smartwatches, equipped with advanced sensors, have become increasingly prominent in health and fitness domains. Their integration with machine learning (ML) algorithms presents novel opportunities for personalized exercise prescription and physiological monitoring.
Objective: This systematic review aimed to evaluate the effectiveness, limitations, and practical applications of smartwatch-ML systems in delivering tailored fitness interventions and health tracking.
Stat Biosci
August 2024
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Large-scale genomics data combined with Electronic Health Records (EHRs) illuminate the path towards personalized disease management and enhanced medical interventions. However, the absence of "gold standard" disease labels makes the development of machine learning models a challenging task. Additionally, imbalances in demographic representation within datasets compromise the development of unbiased healthcare solutions.
View Article and Find Full Text PDFJSLS
September 2025
Department of Gynecology and Obstetrics, Johns Hopkins Hospital, Baltimore, MD, USA.
Background And Objectives: Many patients with uterine fibroids turn to social media for information, where fibroid-related content has grown substantially. To effectively address misconceptions and deliver high-quality, patient-centered care, physicians should be aware of the online information their patients encounter. This study analyzes fibroid-related content on social media to better understand the information being consumed.
View Article and Find Full Text PDFWorld Neurosurg
September 2025
Department of Neurosurgery, New York University Langone Medical Center, New York, NY.
Objective: Mentorship and training relationships shape the careers and influence of neurosurgeons. Network analysis can reveal structural characteristics and key individuals who support network connectivity and drive the field's development. This endeavor analyzed the US-based neurosurgical training network derived from NeurosurGen.
View Article and Find Full Text PDF