20 July 2022 - EU-STANDS4PM and the European Commission are co-organising a webinar on Wednesday, 14 September 2022 from 14:30–16:30 (CEST) via ZOOM.
Title: “Towards broadly applicable standards for in silico approaches in personalized medicine”
The webinar will provide an overview of the process and challenges of developing formal as well as community-based standards for predictive computational models in personalised medicine.
Topics covered include the development of ISO-Technical Specifications covering requirements and recommendations for the design, development and establishment of predictive computational models in the field of personalised medicine. A specific emphasis is put on collaborative research, such that health-related data can be optimally used for translational research and personalized medicine. The webinar will also focus on computational modelling workflows to enable clinical integrated decision support systems that can be used to enhance the accuracy and reinforcement of multidisciplinary decision-making processes.
A live question-and-answer session will allow participants the opportunity for real-time guidance and follow-up. If interested after the webinar, projects could have bilateral, exploratory meetings with EU-STANDS4PM.
Speakers include:
Martin Golebiewski, Heidelberg Institute for Theoretical Studies HITS gGmbH, Germany
Marc Kirschner, Forschungszentrum Jülich GmbH, Germany
Heike Moser, The German Institute for Standardisation DIN, Germany
Tito Poli, University Medical Center of Parma, Italy
More information and a link to the registration tool are available here:
Registration is free but mandatory.
The organising team:
Christina Kyriakopoulou, Policy officer - Team leader Rare Diseases & Biotools, DG-RTD, European Commission
Marc Kirschner, Forschungszentrum Jülich GmbH, Coordinator of EU-STANDS4PM
Sylvia Krobitsch, Forschungszentrum Jülich GmbH
EU-STANDS4PM is a Coordinating and Support Action funded under the Horizon2020 framework programme of the European Commission. Their main goal is to initiate an EU-wide mapping process to assess and evaluate strategies for data-driven in silico modelling approaches.
