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October 2021

Pre-Analytical Phases of Biobanking, Part 3: Science behind the pre-analytical phase, quality assurance schemes in biobanking

27 October @ 10:00 - 12:00
Online
Free

The third session in our e-learning programme on pre-analytical phases of biobanking is a live webinar on testing and quality assurance.

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December 2021

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

8 December - 11 December
Maastricht School of Management, Endepolsdomein 150
Maastricht, 6229 EP Netherlands
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€850

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.

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EBRAINS Workshop: The Future of Medical Data Sharing in Clinical Neurosciences

9 December @ 14:00 - 11 December @ 12:15
Online

The HBP and EBRAINS together with the EAN invite the entire scientific community to join the forthcoming workshop on the Future of Medical Data Sharing in Clinical Neurosciences. This event aims at exposing and openly discussing all issues and challenges associated with data sharing in Europe, from ethics to data safety and privacy, including those specific to data federation, such as the development and validation of federated algorithms. We propose a platform to disclose the preliminary results of these use-cases, four brainstorming sessions…

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