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| http://dx.doi.org/10.1177/014107680710000102 | DOI Listing |
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Engaging today's undergraduate students in the field of dairy science with a focus on the female student population.
JDS Commun
January 2025
Department of Animal and Food Science, University of Wisconsin-River Falls, River Falls, WI 54022.
The dairy industry has profound economic importance, and individuals earning postsecondary degrees within dairy science-related fields are future industry leaders. Yet, enrollment at universities is declining and there is a labor shortage within the dairy industry. The objective of this review article is to highlight current trends within academia, identify some techniques to improve student experiences within higher education, and describe successful education strategies employed within dairy science-related fields.
View Article and Find Full Text PDFThrough progressive policies, Rwanda has made significant strides in promoting girls' education and empowerment. However, female enrollment in Bachelor of Medicine and Bachelor of Surgery (MBBS) programs remains disproportionately low. This cross-sectional study investigates the influence of gender stereotypes and girls' self-perceptions on female engagement in MBBS programs in Rwanda.
View Article and Find Full Text PDFA meta-analysis of risk factors for cardiovascular adverse events with anthracycline based chemotherapy in lymphoma patients.
BMC Cancer
January 2025
Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, 157 West 5th Road, Xi'an, Shaanxi, 710004, China.
Background: Anthracycline usage has been linked to cardiovascular adverse events (CAEs), which is unpredictable. It is critical to identify the characteristics of vulnerable populations and risk factors in order to reduce the occurrence of CAEs.
Objectives: This meta-analysis aimed to assess the correlation between various risk factors and CAEs induced by anthracyclines.
Large language models improve the identification of emergency department visits for symptomatic kidney stones.
Sci Rep
January 2025
Department of Urology, Vanderbilt University Medical Center, Nashville, USA.
Recent advancements of large language models (LLMs) like generative pre-trained transformer 4 (GPT-4) have generated significant interest among the scientific community. Yet, the potential of these models to be utilized in clinical settings remains largely unexplored. In this study, we investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were due to symptomatic kidney stones.
View Article and Find Full Text PDFEnvironment scan of generative AI infrastructure for clinical and translational science.
Npj Health Syst
January 2025
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY USA.
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers.
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