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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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The Open Source Technology in Clinical Data Analysis (OSTCDA) project was set up with the aim to create a manuscript on the integration of open-source software solutions for clinical data management, analysis and reporting.
A significant amount of time and energy has been invested in recent years exploring the desirability (do we want it?), feasibility (can we do it?), and viability (is it worth it?) of integrating open source solutions into our clinical data pipelines which transform source data into clinical study reports and submission data packages. In this October edition of the Open Source Open Forums, we will provide an update on the status of this initiative and continue to hear from you on what we’ve missed so far.
When this manuscript is complete, we hope to put to rest some of the burning questions that we believe we now know the answers to. This will allow industry, and all the passionate people in it, to look ahead and start tackling the next horizon of challenges related to using open source solutions for clinical data pipelines. We hope you will contribute your expertise to this effort. The OSTCDA Project will be hosting their next forum to discuss the above, titled Open Source Technologies in Clinical Data Analysis.
This Forum will be taking place over Zoom on 11 October at 15:00-16:00 (BST) / 10:00-11:00 (EDT).
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RWD Sources – How the Genesis of Your Data Determines What Questions You Can Answer.
When considering sources of RWD, it is important to consider more than just the number of available patients. Recently released guidance from the FDA encourages researchers to build accurate, complete and traceable real-world datasets. Combining data from structured and unstructured electronic health record data, closed claims, and other sources is essential to building the patient journey.
In our October Community Forum, we will explore two different angles of RWD sourcing from the provider’s point of view:
- Tim (Verantos) will share with us novel insights into unstructured data and examples of the value that can be leveraged from such data.
- Matt (Azimuth) will share with us details and example analyses of a unique research data source derived from linking claims and EHR data hosted by the Department of Defense network.
Come and join us for what promises to be another very interesting Community Forum!
This Forum will be taking place over Zoom on 24 October at 14:00-15:00 (BST) / 9:00-10:00 (EDT).
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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 took place from 17–19 September 2024. During this virtual event, presentations were delivered across the three days in bitesize chunks. Each day also hosted a panel discussion and Q&A session focused on the day's themes.
Visit the PHUSE archive for all previous event recordings and presentations.
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The Nonclinical Topics Working Group has just formed a new project titled Developing Predictive Models to Facilitate Interpretation of Toxicology Study Results which is now calling for volunteers.
A computational pipeline to build models to predict target organs of toxicity from SEND datasets has been developed and published on GitHub under PHUSE. Project team members will evaluate the feasibility and performance of this pipeline when run on data from within their organisations. The pipeline will be updated to improve compatibility with different database systems, and efforts will be made to improve its performance across disparate data sources. Additional study interpretations – e.g. adversity of findings, NOAEL determination, clinical translatability, structure activity relationship – will be explored for development of predictive models. Successful modeling approaches will be published in peer-reviewed scientific journal articles.
If you would like to volunteer or learn more about this project, email workinggroups@phuse.global. Closing date: 24 October
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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 CDISC Standard for Exchange of Nonclinical Data (SEND) data standard has created new opportunities for collaborative development of open-source software solutions to facilitate cross-study analyses of toxicology study data.
A sub team of the BioCelerate SEND Implementation for Cross Study Analysis Initiative was formed and through collaborative efforts via a public–private partnership between BioCelerate and the FDA/Center for Drug Evaluation and Research (CDER), they worked to develop and publicise novel methods to facilitate cross-study analysis of SEND datasets.
As part of this work in collaboration with the Pharmaceutical Users Software Exchange (PHUSE), an R package called sendigR has been developed to enable users to construct a relational database from a collection of SEND datasets and then query that database to perform cross-study analyses. The sendigR package also includes an integrated Python package, xptcleaner, which can be used to harmonise the terminology used in SEND datasets by mapping to CDISC controlled terminologies. This package, sendigR, will provide data scientists and toxicologists with a free, open-source tool that can be utilised to query large repositories of electronic standardised toxicology study data. sendigR was published to the Comprehensive R Archive Network (CRAN) and GitHub - phuse-org/sendigR: Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets. An R Shiny web application was included in the R package to enable toxicologists with no coding experience to perform historical control analyses. Experienced R programmers will be able to integrate the package functions into their own custom scripts/packages and potentially contribute improvements to the functionality of sendigR.
To learn more, read the sendigR accompanying manuscript here: Frontiers | sendigR: an R package to leverage the value of CDSIC SEND datasets for cross-study analysis (frontiersin.org)
sendigR reference manual: Enable Cross-Study Analysis of CDISC SEND Datasets • sendigR (phuse-org.github.io)
sendigR R Shiny demo app: phuse-org.shinyapps.io/sendigR/-------------------------------------------
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Data Transparency |
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The PHUSE Stakeholder Review of ISRCTN Results System Prototype team has completed their system review and documented their feedback. The International Standard Randomised Controlled Trial Number registry (ISRCTN) recently released information for public review and comment regarding the new registry they are working on, and the results system prototype was open for review until the end of September. The PHUSE project team assembled to review the prototype was a diverse group of experts from the PHUSE Data Transparency Working Group. For the purposes of providing feedback, fields were tested but no results submitted. The summary of comments, included in the ISRCTN results system prototype feedback collated from our review at PHUSE can be found in this document. |
Data Transparency |
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The PHUSE Stakeholder Review of UK MHRA Clinical Trials Regulation Guidance project within the Data Transparency Working Group has published a new response to a question regarding MHRA Clinical Trials Regulation Guidance. On 28 April 2025, the UK Parliament and Northern Ireland Assembly approved the Medicines for Human Use (Clinical Trials) (Amendment) Regulations 2025 (available via this link). These new regulations introduce changes to the Medicines for Human Use (Clinical Trials) Regulations 2004, which currently govern the regulation of clinical trials of investigational medicinal products (CTIMPs) in the UK. New guidance has been published by the UK’s Health Research Authority (HRA) to accompany the Medicines and Healthcare products Regulatory Agency (MHRA)’s updated clinical trials regulations, which come into force on 28 April 2026. The guidance explains important points on what will change in terms of processes, legal requirements, and expectations for anyone involved in setting up or delivering clinical trials. External stakeholders who wished to share feedback on the newly published guidance were asked to provide their submissions to the HRA by 10 September 2025. View the team's response to the updated guidance here and the associated MHRA algorithm document here. |
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Working Group Q3 Reports |
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The Working Groups quarterly report is now live! This report showcases the incredible progress across our projects, spotlighting key achievements and the exciting work still underway. Dive into the full report to explore how each project is driving impact and innovation. Plus, check out a detailed breakdown of the events that have shaped this quarter’s journey. |
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Nonclinical Advance Event – Save the Date |
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The Nonclinical Topics Working Group is excited to announce a multi-day virtual event coming February 2026. More details coming soon! |
RWD Autumn Event – Save the Date |
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We’re pleased to announce that the Real World Evidence Working Group will be holding its second multi-day virtual event from 30 September to 1 October 2026. Stay tuned for more details and registration information coming soon! |
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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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Working Group Report: Includes project updates, recent and upcoming deliverables and future plans for each Working Group. | |
Monthly Mailings: The monthly newsletter. Here you will find a full update from each month of the year, easily accessible and divided into key areas of PHUSE. | |
PHUSE Blogs: Fancy a quick read? A blog is a perfect way to catch up on all things Working Groups. Get the lowdown on the latest events from across the globe and stay updated on industry topics brought to you by industry professionals. |
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Initiate and lead a new project under the PHUSE Working Groups umbrella. The new project must address problems of significant relevance to computational science related to drug, biological and device development and must meet all of the guidelines for projects within the collaboration, including the following mandatory requirements:
New projects can be submitted anytime during the year, click here to submit. |