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Virtual Round Table #3: ELSI — Four Letters – Do They Matter?

Online

“Get to know the European and Chinese landscape in Personalised Medicine-biobanking with special focus on the common intersections data/Ethical, Legal and Societal Issues (ELSI)/quality” – that is the credo for the 4 upcoming Virtual Round Tables! What should you expect? Our VRTs will present the European and Chinese perspective/challenges and future trends of four very […]

Free

UK Biobank Showcase

Organised by the UKCRC Tissue Directory and Coordination Centre (UK National Node of BBMRI), the UK Biobanking Showcase is the UK's leading event for those who work in biobanking and human tissue research.

Virtual Round Table #4: Quality – What’s missing when things don’t work as they should? 

Online

Within VRT#4: Quality – What’s missing when things don’t work as they should? European and Chinese experts will provide an overview on the European and Chinese perspective/challenges/limitations/future trends/and much more of Biobanking Quality in connection with PM. In addition, VRT#4 will build on the WP2 achievements (knowledge synthesis on the identification, transferability and scaling up of international standards in PM), ranging from the WGs workshops to the WP2 roadmap.

Free

EOSC-Life 3rd Annual General Meeting

Join BBMRI-ERIC and other project participants in a hybrid meeting to learn about the results of the past year of building a digital space for the life sciences!

BBMRI.QM Newsroom Continues in 2022

Online

“Get insights from the outside” – with our fifth session of consultation hours on quality-related topics in the field of biobanking and biomedical research and development.

Free

Launch of EU-AMRI

Online

On the morning of 5 April 2022 (10:00 – 12:30 CET), EU-AMRI will be formally launched in Brussels. The official launch is a hybrid event, hosted by Vivienne Parry, and can be attended online for free.

Free

AI 4 IMAGING: Radiomics, Deep Learning and Synthetic Data – A Hands-on Course

Maastricht School of Management Endepolsdomein 150, Maastricht, Netherlands

This course on Artificial Intelligence for Imaging is a unique opportunity to join a community of leading-edge practitioners in the field of Quantitative Medical Imaging. Whether you are a researcher in the field or are interested about fostering this type of research in your clinic, during this 4-days immersive course you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Synthetic Data. Clinicians will receive basic training in the methods of Quantitative Image Analysis and will be able to interactively design a clinical trial. Researchers will receive in-depth lectures about the state of the art and deeper training in commonly used algorithms. Researchers can also bring your own curated dataset for the hackathon (labelled, sorted by outcome, open source or fully anonymised, and cleared by ethics). If requested ahead of time, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.

€850

Webinar: Advancing Research on Epidemic-Prone Diseases

The ISIDORe consortium has recently launched its first call to support research on SARS-CoV-2 and COVID-19. It provides free of charge access to more than 300 services from ISIDORe’s integrated portfolio of cutting-edge research services dedicated to epidemic-prone disease research. It will follow in coming weeks with a new access call dedicated to the Monkeypox virus. Read more...

ISIDORe Information Webinar

Online

The ISIDORe coordination team is launching the first in a series of webinars to provide information about ISIDORe initiative, its open calls for proposals dedicated to SARS-CoV-2/COVID-19 and Monkeypox virus, and how to apply to services. The first webinar will be held on 12th July 2022, 10:00-11:30 AM CEST. Please register here for the event […]


The website was co-funded within ADOPT BBMRI-ERIC, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 676550.
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