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PHUSE collaborations are organised into a number of specialist Working Groups, each with a broad topic area. The Working Groups have specific projects designed to achieve a set of particular objectives. This page will highlight the latest news and information from our projects. Participation is open to anyone who wants to contribute and if you would like to get involved, please email workinggroups@phuse.global. |
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Data Transparency |
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A key aspect of health literacy, especially in clinical research, is understanding what data is collected, how it is protected, and how it is used during and after a study. Truly informed consent requires transparency about data practices so that participants can make educated decisions.
The MRCT Center and PHUSE are collaborating to develop a suite of resources, including videos and infographics, to enhance data literacy in the clinical research context. Join us for this webinar as we discuss the importance of data literacy, explore practical applications for research teams, and unveil new materials designed to support participants and the broader research community.
Key Topics:
Advancing Data Literacy as a Component of Health Literacy
Explore how understanding research data supports informed decision-making and aligns with broader health literacy efforts.
Applying Plain Language and Visual Tools to Data Communication
Learn how the MRCT Center and PHUSE have used plain language, infographics and videos, to make clinical research data more accessible.
Empowering Participants with Transparent and Actionable Information
Identify ways to integrate data literacy resources into clinical research processes to support research trust and engagement.
The webinar will take place on 3 April, 9:00 (EDT) / 14:00 (BST) / 15:00 (CEST)
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Real World Data Spring Event 2025 | ||
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We're thrilled to announce a new Working Group event coming your way in 2025 – the PHUSE Real World Data Spring Event! "It will bring together engaged speakers from the field ranging from data vendor and data registry representatives to pharmaceutical and biotech industry representatives who are sharing their knowledge and ideas around Real World Data utilisation in a fast-moving and challenging environment." -Berber Snoeijer, ClinLine – Real World Evidence Working Group Lead The Real World Data Spring Event will take place on 9–10 April 2025 9:00-11:30(EDT) / 14:00-16:30(BST) / 15:00-17.30(CEST)
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End to End RBQM Education – Revolutionising Participant Safety Monitoring with Advanced Solutions
The End to End RBQM Education project, within the Risk Based Quality Management Working Group are hosting their second webinar on the topic of Revolutionising Participant Safety Monitoring with Advanced Solutions!
This session will delve into Adverse Event (AE) monitoring and participant safety with a panel of industry experts who will be sharing their perspectives on the changing landscape of safety monitoring.
This webinar will be taking place virtually on 23 April at 10:00–11:00 (EDT) / 15:00–16:00 (BST) / 16:00–17:Autumn Event 2025 – Call for Speakers is Open! | ||
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Call for Speakers is officially open for the Data Transparency Autumn Event 2025! This is a fantastic opportunity for those passionate about data transparency to share their bold ideas, fresh perspectives and real-world experience. The event will take place virtually 16–18 September, meaning you can participate from anywhere in the world! Plus, there’s no need to block out the whole day, as sessions are delivered in short bite-sized chunks from 10:00-12:30 (EDT) / 15:00-17:30 (BST) / 16:00-18:30 (CEST) Submit your 150-word abstract by 12 June for the chance to take part in one of the most focused, forward-looking events in the transparency space.
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Real World Evidence Webinar Series | ||
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Webinar 2: Estimands in Real-World Evidence Studies This webinar will explore the pivotal role of estimands in real-world evidence (RWE) studies, bridging the gap between regulatory guidance and practical implementation. The session will address challenges unique to RWE settings, such as heterogeneous patient populations, complex treatment regimens, and the impact of intercurrent events on study outcomes with a focus on generating RWE that can inform regulatory decision-making. Through practical examples, case studies, and an engaging panel discussion featuring domain experts, this session will highlight best practices for defining estimands that enhance the interpretability and reliability of RWE findings. Participants will leave with a systematic approach to estimand definition, empowered to conduct RWE studies that are robust, actionable, and aligned with evolving regulatory standards. This webinar will held virtually on 5 June 2025 at 11:00 (EDT) / 16:00 (BST) / 17:00 (CEST)
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PHUSE Computational Science Symposium (CSS) 2025 | ||
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In its 14th year, the /wiki/spaces/WEL/pages/38993921 will be in Utrecht, the Netherlands 20-21 May. At the heart of the event is the PHUSE Working Groups’ mission to tackle unmet computational science needs in support of health product development and regulatory review, ultimately bringing safe and effective medical products to those who need them. The CSS agenda will feature a variety of activities, including expert-led plenary sessions, interactive workshops and dedicated Working Group Breakout Sessions that drive forward existing initiatives and explore new ones. Attendees will also have the chance to attend the Poster Session, providing the opportunity to share knowledge and engage in discussions on various computational science topics. PHUSE is excited to welcome attendees from across pharma, CROs, academia, health authorities, technology vendors and SDOs to come together for this collaborative and forward-thinking experience. Please visit the PHUSE website for more information.
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Data Transparency Autumn Event 2025
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Active since 2014, PHUSE’s Data Transparency Working Group has provided subject matter expertise for the review of draft deliverables and guidance documents from regulatory bodies (such as the EMA and Health Canada), as well as other industry organisations (such as TransCelerate) and academia. Since their inception in 2020, the free-to-attend Data Transparency Events have gone from strength to strength. These virtual events have created an unrestricted space where questions can be asked and challenges addressed. Individuals passionate about the area can come together to share vital knowledge, develop new ideas and spark innovation through presentations, panel discussions and Q&A sessions alongside experts in the data-sharing field.
The PHUSE Data Transparency Autumn Event will take place on 16-18 September 2025. Data Transparency Events offer you the chance to gain knowledge and experience from a wide data transparency community, allowing you to come together with experts from a variety of companies and backgrounds. Registration for this event will open in July.
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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.
A new Data Transparency deliverable is out for public review!
The Rare Disease/Small Population Data Sharing project has produced a new White Paper - “Rare Disease Clinical Data Sharing” and are seeking your feedback. The purpose of this White Paper is to review potential barriers to the sharing of rare disease data such as risk of re-identification and invasion of privacy (balanced against maintaining data utility) and understand if, and how, these barriers apply to controlled access data sharing under specific contextual assumptions. The development of strategies to enable rare disease data to be shared effectively and be reused is needed to advance research and clinical trial design where there is significant unmet need.
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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 SEND Coding Bootcamp is a new project within the Nonclinical Topics Working Group. Which is currently calling for volunteers.
The 4-day SEND Coding Bootcamp aims to help those working with SEND datasets become more productive by teaching basic coding and plotting skills. Over the course of a series of separate hands-on coding sessions, participants will learn the basics of programming and plotting using the R programming language. The course will be oriented around SEND datasets and will include reading, writing, plotting, and manipulating SEND datasets stored in .xptformat. Basic knowledge of the SEND standard is expected. No previous knowledge about programming or the R programming language is needed.
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 1 April.
The Kick-Off Meeting for this project will be held 4 April 2025The clinical study analysis and reporting QC process has not changed in decades. It is widely agreed that there is significant overhead in using double programming, and that this may need to be revisited to accelerate and optimally use programming resources. This process has not been revisited or analysed within a modern context. The purpose of this Working Group project would be to perform this analysis and report findings.
The QC process has significant impact on the adoption of Git in statistical programming, specifically in the complexity in using Git in a way that does not disrupt the QC process. This will also impact on what is perceived as acceptable level of QC for submissions by the industry, including regulators.
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 29 April 2025.
The Kick-Off Meeting for this project will be held 30 April 2025 9:00 (EDT) / 13:00 (BST) / 14:00 (CEST)
Integration of Omics Data into Clinical Drug Development, a new project within the Emerging Trends & Innovation Working Group, is calling for volunteers.
Omics data has the promise of bringing precision medicine and targeted drug discovery to life. However, its use in clinical drug development has been quite limited due to challenges that span technical, practical, ethical and regulatory domains. The team proposes an initial short-term smaller scope of the WG focused on BioCompute and its implementation. This would ensure a focused short to mid-term delivery. The scope would entail:
Establishing best practices when working with BioCompute
A guide for creating and validating BioCompute Objects
Submission considerations for BioCompute Objects
Sharing of BioCompute Objects across the industry.
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 5 May.
The Kick-Off Meeting for this project will be held 6 May 2025 10:00 (EDT) / 15:00 (BST) / 16:00 (CEST)Community Forum: AI and SaMD in Healthcare: From Compliance to Patient-Centred Innovation |
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Digital health technologies (DHTs), such as wearable accelerometers, are increasingly being adopted in clinical trials, as they enable objective and continuous evaluations of health parameters, functions and behaviours in the participant’s naturalistic environment. The continuous data stream provided by DHTs combined with artificial intelligence/machine learning (AI/ML) tools can lead to the identification of novel digital endpoints (NDEs) and measuring objective outcomes that are meaningful to patients. These NDEs can support clinicians with early diagnosis, prognosis, and personalised treatments of a wide range of diseases. To address the need to develop and validate NDEs before their large-scale deployment in clinical trials and gather evidence supporting their regulatory adoption, at Pfizer we have collected in-clinic and at-home data from hundreds of healthy volunteers across age ranges, spanning paediatrics to geriatrics, and device locations. In the first part of this presentation, considerations about the selection of fit-for-purpose DHTs and the validation of AI-driven algorithms for NDEs of gait and physical activity will be discussed as compared to standard measurements. Since understanding individual perception towards using new technologies is crucial for clinical adoption of NDEs, the evaluation of self-reported measures of usability, acceptability, and level of continued usage will also be addressed. Results suggest high reliability and accuracy of DHT-derived gait and physical activity endpoints, for example by effectively tracking walking at different speeds, while ensuring participants’ comfort in wearing DHTs. Finally, the deployment of the validated AI-driven digital biomarkers in clinical studies will be presented, with particular focus on older individuals at risk of frailty and malnutrition. This Community Forum will take place virtually on 18 June at 11:00 (EDT) / 16:00 (BST) / 17:00 (CEST) |
The Use of Git in Statistical Programming is a new project within the Emerging Trends & Innovation Working Group, is calling for volunteers.
There is interest across the pharmaceutical industry in using Git for statistical programming. Some companies have already incorporated Git, or are attempting to, and there are common challenges being faced. In these cases, the introduction of Git has increased the complexity of a statistical programmer’s tasks, which has led to challenges in uptake and to taking advantage of the benefits Git offers. This is an important challenge to overcome for increasing efficiency of operations. The purpose of this Working Group project is to provide the industry with tools and guidance for addressing and overcoming this common challenge.
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 3 April 2025.
The Kick-Off Meeting for this project will be held 4 April 2025 10:00 (EDT) / 15:00 (BST) / 16:00 (CEST)
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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End-to-End RBQM Webinar: Value-Driven Clinical Data Review, Together | ||
Clinical data review is no longer just a technical checkbox – it’s a strategic, cross-functional effort that can make or break the success of a clinical trial. When teams collaborate across functions, align on risk, and focus on value-driven review, the result is more reliable, coherent and compliant trial data. In this session, we’ll explore how to move beyond traditional data cleaning by embracing a collaborative, risk-based approach. Learn how functional interdependencies – when properly understood and leveraged – can drive smarter, more efficient reviews. We’ll also host a dynamic roundtable featuring voices from big pharma, tech and CROs, who will share real-world insights, challenges, and best practices for building effective, cross-functional data review strategies. Whether you’re in data management, clinical operations, biostatistics, or a supporting function, this session will offer actionable strategies to foster collaboration and value-driven data review processes. This webinar will be held virtually on 26 June at 10:00 (EDT)/ 15:00 (BST) / 16:00 (CEST)
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The Implementation of Estimands (ICH E9 (R1)) using Data Standards project within the Optimizing the Use of Data Standards Working Group, have published a new White Paper and Example Document! This white paper provides recommendations and examples to illustrate the implementation of the estimands framework introduced by the ICH E9(R1) Addendum on Estimands and Sensitivity Analysis in Clinical Trials to the Guideline on Statistical Principles for Clinical Trials [ICH E9(R1), 2019] using data standards (as part of the clinical data flow). |
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If you would like to get involved in a PHUSE Working Group Project, please explore the projects via the Volunteer Board and contact the PHUSE Office on workinggroups@phuse.global to express your interest. |
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