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http://dx.doi.org/10.1074/jbc.X109.041178 | DOI Listing |
J Gen Intern Med
January 2025
MD/PhD Program, Yale School of Medicine, New Haven, CT, USA.
Background: Diversity in the physician workforce is critical for quality patient care. Students from low-income backgrounds represent an increasing proportion of medical school matriculants, yet little research has addressed their medical school experiences.
Objective: To explore the medical school experiences of students from low-income backgrounds using a modified version of Maslow's Hierarchy of Needs (physiologic, safety, love/belonging, esteem, and self-actualization) as a theoretical framework.
G Ital Cardiol (Rome)
December 2024
S.C. Cardiologia, Ospedale Mauriziano Umberto I, Torino.
The heart is a remarkable organ from both a scientific and functional standpoint, as well as a symbolic representation of many noble elements of human concern found in poetry, art, and religion. Cinema, a form of art in and of itself, has also taken an interest in the heart. Recently, a TV series dedicated to this organ has combined historical research on the groundbreaking development of the possibility of curing it with the romantic element of the love affair that, in a figurative sense, passes through the same organ.
View Article and Find Full Text PDFLancet Oncol
November 2024
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lancet Oncol
November 2024
Institute of Neuroscience and Medicine (INM-4), Research Center Juelich (FZJ), Juelich, Germany; Department of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment of the work to date in this field, focusing on diagnostic AI models of key genomic markers, predictive AI models of response before and after therapy, and differentiation of true disease progression from treatment-related changes, which is a considerable challenge based on current clinical care in neuro-oncology. Furthermore, promising future directions, including the use of AI for automated response assessment in neuro-oncology, are discussed.
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