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Background: For radiotherapy of head and neck cancer (HNC) magnetic resonance imaging (MRI) plays a pivotal role due to its high soft tissue contrast. Moreover, it offers the potential to acquire functional information through diffusion weighted imaging (DWI) with the potential to personalize treatment. The aim of this study was to acquire repetitive DWI during the course of online adaptive radiotherapy on an 1.

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History of the Organisation for Economic Co-operation and Development (OECD) test guidelines for non-animal test methods in Japan.

Genes Environ

January 2025

Department of Pharmaceutical Engineering, Faculty of Engineering, Sanyo-Onoda City University, 1-1-1, Daigaku-dori, Sanyo-Onoda City, 756-0884, Yamaguchi, Japan.

The number of alternatives to animal tests (non-animal test methods) for human health developed globally account for more than 40% of the test methods in the Organisation for Economic Co-operation and Development (OECD) Guidelines for the Testing of Chemicals (TGs). Within the TGs, the National Institute of Health Sciences (NIHS) has standardized 16 OECD TGs for human health, implemented four major revisions, and developed one test method for the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) S10 guidelines on photosafety. This review describes trends in the OECD and Japan that mainly focus on international standardizations of non-animal test methods for human health.

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Background: The significance of the controlling nutritional status (CONUT) score in predicting the prognostic outcomes of diffuse large B-cell lymphoma (DLBCL) has been widely explored, with conflicting results. Therefore, the present meta-analysis aimed to identify the prognostic significance of the CONUT in DLBCL by aggregating current evidence.

Methods: The Web of Science, PubMed, Embase, CNKI and Cochrane Library databases were searched for articles from inception to October 15, 2024.

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Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.

Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.

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By providing guarantees and direct lending, public export credit agencies (ECAs) de-risk and thus enable energy projects worldwide. Despite their importance for global greenhouse gas emission pathways, a systematic assessment of ECAs' role and financing patterns in the low-carbon energy transition is still needed. Using commercial transaction data, here we analyze 921 energy deals backed by ECAs from 31 OECD and non-OECD countries (excluding Canada) between 2013 and 2023.

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