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Implementation outcomes of 1-3-7 focus investigation for malaria in a low transmission setting in Southern Province, Zambia: A mixed methods study.
PLOS Glob Public Health
January 2025
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Eleven countries have been certified as malaria free since 2016, but none of these are in subSaharan Africa where elimination challenges are unique. The 1-3-7 focus investigation approach is an implementation strategy that requires case reporting, case investigation/classification, and focal classification/response to be completed one, three, and seven days, respectively, after index case diagnosis. Real-time short-messaging-service reports are sent at each step to add accountability and data transparency.
View Article and Find Full Text PDFEstablishing thresholds for swing transparency at the knee during gait to inform exoskeleton design.
PLoS One
January 2025
Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Knee exoskeletons have been developed to assist, stabilize, or improve human movement or recovery. However, exoskeleton designers must implement transparency (i.e.
View Article and Find Full Text PDFImplementing a Responsible Conduct of Research Curriculum for an Undergraduate Summer Clinical Research Program in Quantitative Sciences.
J Med Educ Curric Dev
January 2025
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY, USA.
Objectives: Instilling the principles of ethical and responsible medical research is critical for educating the next generation of clinical researchers. We developed a responsible conduct of research (RCR) workshop and associated curriculum for undergraduate trainees in a quantitative clinical research program.
Methods: Topics in this 7-module RCR workshop are relevant to undergraduate trainees in quantitative fields, many of whom are learning about these concepts for the first time.
Communicating cancer treatment with pictogram-based timeline visualizations.
J Am Med Inform Assoc
January 2025
National Center for Tumor Diseases, University Cancer Center, NCT-UCC, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, 01307 Dresden, Germany.
Objective: This study evaluated the legibility, comprehension, and clinical usability of visual timelines for communicating cancer treatment paths. We examined how these visual aids enhance participants' and patients' understanding of their treatment plans.
Materials And Methods: The study included 2 online surveys and 1 in-person survey with hematology cancer patients.
Machine Learning Approaches for Neuroblastoma Risk Prediction and Stratification.
Crit Rev Oncog
January 2025
Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School (MHH), Hannover, Germany.
Machine learning (ML) holds great promise in advancing risk prediction and stratification for neuroblastoma, a highly heterogeneous pediatric cancer. By utilizing large-scale biological and clinical data, ML models can detect complex patterns that traditional approaches often overlook, enabling more personalized treatments and better patient outcomes. Various ML techniques, such as support vector machines, random forests, and deep learning, have shown superior performance in predicting survival, relapse, and treatment responses in neuroblastoma patients compared to conventional methods.
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