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| http://dx.doi.org/10.1002/aet2.11027 | DOI Listing |
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Impact of Psychosocial and Palliative Care Training on Nurses' Competences and Care of Patients With Cancer in Cameroon: Protocol for Quasi-Experimental Study.
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National Radiotherapy, Oncology and Nuclear Medicine Centre, Korle-bu Teaching Hospital, Accra, Ghana.
Background: Cancer is a leading cause of global mortality, accounting for nearly 10 million deaths in 2020. This is projected to increase by more than 60% by 2040, particularly in low- and middle-income countries. Yet, palliative and psychosocial oncology care is very limited in these countries.
View Article and Find Full Text PDFMajor Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning-Based Model Development and Validation Study.
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Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, China.
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Objective: This study aimed to develop and validate a machine learning-based model to predict MAKE30 in hospitalized older patients with AKI.
Explainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung Cancer.
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Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFStimulating Medical Student Professional Identity Formation Through Mentored Longitudinal Partnerships With Patient Teachers.
Acad Med
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R.H. Kon is associate professor of medicine, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia; ORCID: https://orcid.org/0000-0002-3326-5203.
ProblemLongitudinal patient relationships can positively affect medical students' professional identity formation (PIF), understanding of illness, and socialization within medical practice, but a longitudinal integrated clerkship (LIC) model is not always feasible. The authors describe the novel Patient Student Partnership (PSP) program, which provides authentic roles for students in mentored longitudinal patient relationships while maintaining a traditional block clerkship model.ApproachThe PSP program at the University of Virginia School of Medicine pairs all matriculating medical students with a patient living with chronic illness to follow across multiple health care settings until graduation.
View Article and Find Full Text PDFObject detection in motion management scenarios based on deep learning.
PLoS One
January 2025
School of Physical Education, Jinjiang College, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and positions of the athletes, sports equipment, field boundaries and other targets in the sports scene. However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. Based on this, we propose for the first time a supervised object detection method for scenarios in the field of motion management.
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