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| http://dx.doi.org/10.2340/actadv.v101.213 | DOI Listing |
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University of California Irvine, Irvine, California, USA.
Despite the study of BCR::ABL1-positive and -negative myeloproliferative neoplasms (MPNs) providing seminal insights into cancer biology, tumor evolution and precision oncology over the past half century, significant challenges remain. MPNs are clonal hematopoietic stem cell-derived neoplasms with heterogenous clinical phenotypes and a clonal architecture which impacts the often-complex underlying genetics and microenvironment. The major driving molecular abnormalities have been well characterized, but debate on their role as disease-initiating molecular lesions continues.
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Department of Oncology and Hospitalist Medicine Program, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
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Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFChina's national continuing medical education program for general practitioners: a cross-sectional survey (2016-2023).
BMC Med Educ
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Department of General Practice, Peking University First Hospital, Beijing, 100034, China.
Background: Pursuing excellence in healthcare delivery systems is an ongoing process. In this process, continuing medical education (CME) is essential for medical professionals to maintain high standards of patient care. In China, where the healthcare sector is undergoing considerable reforms and faces challenges owing to socioeconomic development and demographic shifts, an effective CME system is vital for general practitioners (GPs).
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