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A single-cell sequencing-based analysis of a 13-year-old with maxillary sinus NUT carcinoma.
Oral Oncol
January 2025
Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou District, Chongqing 404100, China; Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Wanzhou District, Chongqing 404100, China; School of Medicine Chongqing University, Chongqing University, Shapingba District, Chongqing 400030, China. Electronic address:
NUT carcinoma is a rare and highly aggressive malignancy, predominantly affecting adolescents and young adults. This tumor demonstrates rapid progression, resistance to conventional anti-cancer treatments, and an extremely poor prognosis. Currently, research on NUT carcinoma is limited, and effective treatment options remain scarce.
View Article and Find Full Text PDFVerbal assessment to confirm nursing associates' occupational readiness.
Br J Nurs
January 2025
Senior Lecturer, School of Human & Health Sciences, University of Huddersfield.
The aim of nursing programmes is to produce employees who are occupationally ready. One method to assess occupational readiness is a verbal examination of subject area knowledge and understanding. This assessment type is used at a higher education institution in the north of England deemed outstanding by Ofsted.
View Article and Find Full Text PDFMultiple Lurias. Reconstructing Alexander Romanovich's Life-Writing.
Integr Psychol Behav Sci
January 2025
Archives Henri Poincaré, Université de Lorraine, Nancy, France.
While widely considered Alexander Luria's (1902-1977) autobiography, The Making of Mind. A Personal Account of Soviet Psychology, published posthumously in 1979, is not a true autobiography but rather an autobiography with heterobiographic elements. However, the largely overlooked Spanish book, Mirando hacia atrás.
View Article and Find Full Text PDFVirtual patients using large language models: Scalable, contextualized simulation of clinician-patient dialog with feedback.
J Med Internet Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, US.
Background: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.
Objective: Show proof-of-concept that VPs powered by large language models (LLMs) generate authentic dialogs, accurate representations of patient preferences, and personalized feedback on clinical performance; and explore LLMs for rating dialog and feedback quality.
Characterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning.
Food Chem X
December 2024
School of Pharmacy, Naval Medical University, Shanghai 200433, China.
With the rising demand of saffron, it is essential to standardize the confirmation of its origin and identify any adulteration to maintain a good quality led market product. However, a rapid and reliable strategy for identifying the adulteration saffron is still lacks. Herein, a combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and convolutional neural network (CNN) was developed.
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