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IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFEfficacy, safety and treatment satisfaction of transition to a regimen of insulin degludec/aspart: A pilot study.
World J Diabetes
January 2025
Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Background: There is a lack of clinical evidence on the efficacy and safety of transitioning from a thrice-daily pre-mixed insulin or basal-prandial regimen to insulin deglu-dec/aspart (IDegAsp) therapy, with insufficient data from the Chinese popu-lation.
Aim: To demonstrate the efficacy, safety, and treatment satisfaction associated with the transition to IDegAsp in type 2 diabetes mellitus (T2DM).
Methods: In this 12-week open-label, non-randomized, single-center, pilot study, patients with T2DM receiving thrice-daily insulin or intensive insulin treatment were transitioned to twice-daily injections of insulin IDegAsp.
Development of a nomogram for overall survival in patients with esophageal carcinoma: A prospective cohort study in China.
World J Gastrointest Oncol
January 2025
Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China.
Background: Esophageal carcinoma (EC) presents a significant public health issue in China, with its prognosis impacted by myriad factors. The creation of a reliable prognostic model for the overall survival (OS) of EC patients promises to greatly advance the customization of treatment approaches.
Aim: To create a more systematic and practical model that incorporates clinically significant indicators to support decision-making in clinical settings.
Unraveling the landscape of pediatric pancreatic tumors: Insights from Japan.
World J Gastrointest Oncol
January 2025
Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Pediatric pancreatic tumors, though rare, pose significant diagnostic and management challenges. The recent, 22-year nationwide survey on pediatric pancreatic tumors in Japan by Makita offers valuable insights into this uncommon entity, revealing striking geographical variations and questioning current treatment paradigms. This editorial commentary analyzes the study's key findings, including the predominance of solid pseudopapillary neoplasms and their younger age of onset, which contrast sharply with Western data.
View Article and Find Full Text PDFPromotion of Cardiovascular Health in Africa: The Alliance for Medical Research in Africa (AMedRA) Expert Panel.
JACC Adv
December 2024
Alliance for Medical Research in Africa, Dakar, Senegal.
This proposed scientific statement is focused on providing new insights regarding challenges and opportunities for cardiovascular health (CVH) promotion in Africa. The statement includes an overview of the current state of CVH in Africa, with a particular interest in the cardiometabolic risk factors and their evaluation through metrics. The statement also explains the main principles of primordial prevention, its relevance in reducing noncommunicable disease and the different strategies that have been effective worldwide.
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