In various areas of professional activity, exposure of skin to ultraviolet radiation coming from artificial sources may occur. These UV rays differ from the solar UV radiation due to their intensity and spectrum. We review current developments with the introduction of statutory exposure limit values for jobs with UV radiation from artificial sources, a selection of relevant activities with artificial UV exposure and an overview of the occurrence of skin disorders and dermatologically relevant skin diseases caused by these specific occupational exposures. The latter is relevant for medical advice in occupational dermatology and occupational medicine. On the basis of existing studies on welders and studies regarding occupations with "open flames" (using the example of the glassblower) it is evident that so far no reliable data exist regarding the chronic photodamage or the occurrence of UV-typical skin cancers, but instead clear evidence exists regarding the regular occurrence of acute light damage in these occupations.
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Cureus
December 2024
Orthopedics and Rehabilitation, Yale University, New Haven, USA.
Purpose The purpose of this study was to evaluate the ability of a Chat Generative Pre-trained Transformer (ChatGPT) to provide academic answers to frequently asked questions using a comparison with Google web search FAQs and answers. This study attempted to determine what patients ask on Google and ChatGPT and whether ChatGPT and Google provide factual information for patients about arthroscopic meniscus repair. Method A cleanly installed Google Chrome browser and ChatGPT were used to ensure no individual cookies, browsing history, other side data, or sponsored sites.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Chemical Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
Synthetic antidiabetic drugs are often associated with various adverse side effects, including hypoglycemia, nausea, gastrointestinal disturbances, headaches, and even liver damage. In contrast, plant-derived natural antidiabetic bioactive compounds typically exhibit lower toxicity and fewer side effects and have been reported to aid effectively in diabetes management. These plant extracts regulate diabetes by restoring pancreatic function, enhancing insulin secretion, inhibiting intestinal glucose absorption, and facilitating insulin dependent metabolism.
View Article and Find Full Text PDFDiabetes Technol Ther
January 2025
Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, United Kingdom.
To evaluate real-world outcomes in adults with type 1 diabetes initiating open-source automated insulin delivery systems (OS-AID). Adults with type 1 diabetes who commenced OS-AID, between May 2016 and April 2021, across 12 centers in the United Kingdom were included. Anonymized clinical data, collected during routine clinical care between December 2019 and November 2023, were submitted to a secure web-based tool within the National Health Service network.
View Article and Find Full Text PDFStem Cell Res Ther
January 2025
Department of Medicine, Veterans Affairs Medical Center, Washington, DC, USA.
Introduction: Effects of Dapagliflozin (Dapa) and Dapagliflozin-Saxagliptin combination (Combo) was examined on peripheral blood derived CD34 + Hematopoetic Stem Cells (HSCs) as a cellular CVD biomarker. Both Dapa (a sodium-glucose co-transporter 2 or SGLT2, receptor inhibitor) and Saxagliptin (a Di-peptydl-peptidase-4 or DPP4 enzyme inhibitor) are commonly used type 2 diabetes mellitus or T2DM medications, however the benefit of using the combination has not been evaluated for cardio-renal risk assessment, in a real-life practice setting, compared to a placebo.
Hypothesis: We hypothesized that Dapa will improve the outcomes when compared to placebo and the Combo maybe even more beneficial.
NPJ Digit Med
January 2025
Shanghai Jiao Tong University, Shanghai, China.
In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical tasks. We evaluate nine leading LLMs, e.g.
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