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Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?
BMC Endocr Disord
January 2025
Department of Public Health Studies, Elon University, Elon, NC, USA.
Background: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - income countries call for preventive public health interventions. Studies from Africa including those from Ghana, consistently reveal high T2DM-related mortality rates. While previous research in the Ho municipality has primarily examined risk factors, comorbidity, and quality of life of T2DM patients, this study specifically investigated mortality predictors among these patients.
View Article and Find Full Text PDFInterventions to Address Cancer-Related Financial Hardship: A Scoping Review and Call to Action.
JCO Oncol Pract
January 2025
Hutchinson Institute for Cancer Outcomes Research, Fred Hutch Cancer Center, Seattle, WA.
Purpose: As oncology practices implement routine screening for financial hardship (FH) and health-related social needs, interventions that address these needs must be implemented. A growing body of literature has reported on FH interventions.
Methods: We conducted a scoping review of the literature using PubMed, EMBASE, PsychInfo, and CINAHL to identify key studies (2000-2024) reporting on interventions to address cancer-related FH.
Working during the second degree: A survey of dentally qualified medical students pursuing a career in OMFS.
Br J Oral Maxillofac Surg
December 2024
Department of Oral & Maxillofacial Surgery, King's College Hospital, London, SE5 9RS, United Kingdom. Electronic address:
Attaining degrees in both medicine and dentistry to forge a career in Oral and Maxillofacial Surgery (OMFS) comes at a considerable financial cost. To fund a second degree most must work alongside their full-time studies. This study aims to assess the current working roles and patterns of those qualified in dentistry, studying medicine to pursue a career in OMFS.
View Article and Find Full Text PDFUsing Active and Passive Smartphone Data to Enhance Adolescents' Emotional Awareness in Forensic Outpatient Setting: A Qualitative Feasibility and Usability Study.
JMIR Form Res
December 2024
Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Background: Delinquent behavior in adolescence is a prevalent issue, often associated with difficulties across multiple life domains, which in turn perpetuates negative life outcomes. While current treatment programs show partial success in improving behavioral changes and reducing recidivism, comprehensive conclusions regarding the overall efficacy of these interventions have yet to be established. In forensic outpatient settings, the discrepancy between adolescents' limited emotional awareness and the predominant emphasis on cognitive reflection, combined with low treatment adherence, may be factors that undermine treatment efficacy.
View Article and Find Full Text PDFPart 2 explores the transformative potential of artificial intelligence (AI) in addressing the complexities of headache disorders through innovative approaches, including digital twin models, wearable healthcare technologies and biosensors, and AI-driven drug discovery. Digital twins, as dynamic digital representations of patients, offer opportunities for personalized headache management by integrating diverse datasets such as neuroimaging, multiomics, and wearable sensor data to advance headache research, optimize treatment, and enable virtual trials. In addition, AI-driven wearable devices equipped with next-generation biosensors combined with multi-agent chatbots could enable real-time physiological and biochemical monitoring, diagnosing, facilitating early headache attack forecasting and prevention, disease tracking, and personalized interventions.
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