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Cardioprotective potential of tectochrysin against vanadium induced heart damage via regulating NLRP3, JAK1/STAT3 and NF-κB pathway.

J Trace Elem Med Biol

January 2025

Department of Pathology, College of Medicine, King Khalid University, Asir 61421, Saudi Arabia; Department of Forensic Medicine and Clinical Toxicology, Mansoura University, Egypt.

Background: Vanadium (VAN) is a significant trace element, but its higher exposure is reported to cause severe organ toxicity. Tectochrysin (TEC) is a naturally derived flavonoid which demonstrates a wide range of pharmacological properties.

Aim: The current study was planned to assess the cardioprotective potential of TEC against VAN induced cardiotoxicity in rats via regulating biochemical, and histological profile.

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Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

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Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).

Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.

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Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.

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Evaluation of dose calculation method with a combination of Monte Carlo method and removal-diffusion equation in heterogeneous geometry for boron neutron capture therapy.

Biomed Phys Eng Express

January 2025

Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-1010 Asashiro-nishi, Kumatori-cho, Sennan-gun, Osaka, 590-0494, JAPAN.

Clinical research in boron neutron capture therapy (BNCT) has been conducted worldwide. Currently, the Monte Carlo (MC) method is the only dose calculation algorithm implemented in the treatment planning system for the clinical treatment of BNCT. We previously developed the MC-RD calculation method, which combines the MC method and the removal-diffusion (RD) equation, for fast dose calculation in BNCT.

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