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The Analyses & Displays for Hepatotoxicity project within the Safety Analytics Working Group have published a new White Paper! This White Paper provides recommendations for displaying, summarising and analysing measures of hepatotoxicity in tables, figures and listings (TFLs). The suggested TFLs will have implications for what and how liver-related data should be collected. If the data required to populate these TFLs is not collected, then there may be insufficient information to adequately assess the potential for a drug to cause or contribute to the cause of hepatotoxicity. |
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The SDTM ADaM Implementation FAQ project within the Optimizing the Use of Data Standards Working Group has published three new FAQs! They have answered two FAQs within Data Submission, the FAQ answered looks at the ‘Upversioning SDTM and ADaM Datasets for Older Studies’ and ‘Annotated CRFs for EDC and eCOA’. They have also answered a FAQ within SDTM/ADaM IG Nuances, that FAQ answered looks at the “ADAE dataset: AESEQ or SRCDOM and SRCSEQ' You can view these questions and see the FAQ's this project has answered so far here. Do you have a SDTM ADaM Implementation FAQ question? You can send your questions to the team by emailing workinggroups@phuse.global. |
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The Anonymization of Imaging Data project is looking for volunteers to join our ongoing project focusing on anonymization and sharing of images in clinical trials. Our recent literature review has highlighted a gap in existing research, particularly in the context of sharing images and related metadata in parallel to clinical trial data. We will focus on DICOM images and related metadata in oncology. Our project will take our collective knowledge of clinical trial data and images to create guidance that will inform de-identification decisions in the anonymization process for the images. There will be a comprehensive review of DICOM image tags and relevant packages and methods that are used to process them. We aim to develop best practices for processing identifiers and anonymising images in oncology, ensuring both privacy and usability. If you have experience in processing and de-identifying images in clinical trials, particularly with DICOM images in oncology, we want to hear from you. If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 25 April. The regular meeting series is currently bi-weekly on Tuesdays 9:00 (EDT) / 16:00 (BST) / 17:00 (CEST) |
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