Publications by authors named "J H Lunde"
Digital health tools can improve health care access and outcomes for individuals with limited access to health care, particularly those residing in rural areas. This scoping review examines the existing literature on using digital tools in patients with limited access to health care in rural areas. It assesses their effectiveness in improving health outcomes.
View Article and Find Full Text PDFBackground And Objective: Telemedicine and video consultation are crucial advancements in healthcare, allowing remote delivery of care. Telemedicine, encompassing various technologies like wearable devices, mobile health, and telemedicine, plays a significant role in managing illnesses and promoting wellness. The corona virus disease 2019 (COVID-19) pandemic accelerated the adoption of telemedicine, ensuring convenient access to medical services while maintaining physical distance.
View Article and Find Full Text PDFTo address the current and long-term unmet health needs of the growing population of non-Hodgkin lymphoma (NHL) patients, we established the Lymphoma Epidemiology of Outcomes (LEO) cohort study (NCT02736357; https://leocohort.org/). A total of 7735 newly diagnosed patients aged 18 years and older with NHL were prospectively enrolled from 7/1/2015 to 5/31/2020 at 8 academic centers in the United States.
View Article and Find Full Text PDFArticle Synopsis
- The systematic review investigates the use of artificial intelligence (AI) models in Health Information Exchange (HIE) systems, emphasizing their importance in enhancing patient data management that complements electronic health records (EHRs).
- From a comprehensive analysis of 1021 publications, only 11 were selected for detailed examination, revealing a strong preference for machine learning models in predicting clinical outcomes, particularly in oncology and cardiac conditions.
- The study reports varied predictive performance metrics (like sensitivity and specificity) for these AI models, highlighting their potential but also the challenges that need to be addressed to ensure effective integration of AI in healthcare.
Myotonic dystrophy type 1 (DM1), the most common form of adult muscular dystrophy, is caused by an abnormal expansion of CTG repeats in the 3' untranslated region of the dystrophia myotonica protein kinase (DMPK) gene. The expanded repeats of the DMPK mRNA form hairpin structures in vitro, which cause misregulation and/or sequestration of proteins including the splicing regulator muscleblind-like 1 (MBNL1). In turn, misregulation and sequestration of such proteins result in the aberrant alternative splicing of diverse mRNAs and underlie, at least in part, DM1 pathogenesis.
View Article and Find Full Text PDF