/
Hot Topics

Hot Topics

image-20250108-100324.png

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.

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.

Real World Data Spring Event 2025

Real World Data Spring Event 2025

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 14:00-16:30(BST) / 9:00-11:30(EDT) / 15:00-17.30(CEST)

PHUSE Computational Science Symposium (CSS) 2025

PHUSE Computational Science Symposium (CSS) 2025

In its 14th year, the PHUSE Computational Science Symposium (CSS) 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.

Data Transparency Winter Event 2025

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 Winter Event took place on 4–6 February 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. During this virtual event, presentations were delivered across the three days in bitesize chunks from 15:00-17:30 (BST) / 10:00-12:30 (EDT) / 16:00-18:30 (CEST) There was also a panel discussion and Q&A session focused on the day's themes. Links to the event presentations and daily recordings can be found here.

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.

Email workinggroups@phuse.global by 7 April to contribute your feedback!

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

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 2025.

The regular meeting series is currently bi-weekly on Tuesdays 16:00 (BST)

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 2025.

The regular meeting series is currently bi-weekly on Tuesdays 16:00 (BST)

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 15:00 (BST) / 10:00 (EDT) / 16:00 (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 15:00 (BST) / 10:00 (EDT) / 16:00 (CEST).

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 2025 16:00 (BST) / 11:00 (EDT) / 17:00 (CEST).

The QC Workflow Optimisation is a new project within the Emerging Trends & Innovation Working Group, is calling for volunteers.

The 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 13:00 (BST) / 9:00 (EDT) / 14:00 (CEST).

The QC Workflow Optimisation is a new project within the Emerging Trends & Innovation Working Group, is calling for volunteers.

The 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 13:00 (BST) / 9:00 (EDT) / 14:00 (CEST).

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. 

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. 

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: 

  • The projects must address significant research issues relevant to Computational Science

  • The project must not attempt to address FDA policy issues

  • There must be at least one Project Lead personally involved in planning and carrying out the project

New projects can be submitted anytime during the year, click here to submit. 

Related content