Joint HMA/EMA workshop on artificial intelligence in medicines regulation
Table of contents
Date:
19/04/2021 to 20/04/2021
Location:
Virtual event
Artificial intelligence (AI) and novel digital technologies hold the promise of increasing efficiency and capacity in healthcare and of providing deeper insights from big data. The HMA-EMA Joint Big Data Task Force recommended to strengthen the network ability in AI, which is reflected in the Big Data Steering Group work plan.
The objective of this workshop is to:
- Inform on state-of-the art use of AI in medicines with keynote presentations;
- Hear the views of stakeholders and experts on the AI actions in the Big Data Taskforce and identify any gaps.
For more information, see Big data.
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Report of the joint HMA/EMA workshop on artificial intelligence in medicines regulation (PDF/332.63 KB) (new)
First published: 28/05/2021
EMA/292319/2021 -
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Agenda - Joint HMA/EMA workshop on artificial intelligence in medicines regulation (PDF/155.74 KB)
Draft
First published: 24/03/2021
Last updated: 19/04/2021
EMA/176509/2021 -
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Presentation - International Coalition of Medicines Regulatory Authorithy (ICMRA) - Artificial intelligence recommendation (Agnes Saint-Raymond) (PDF/608.11 KB) (new)
First published: 05/05/2021 -
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Presentation - Artificial Intelligence to improve the lives of patients (Andre Dekker) (PDF/1.79 MB) (new)
First published: 05/05/2021 -
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Presentation - Translating a trillion points of data into real world evidence and enabled intelligence for medicine (Atul Butte) (PDF/4.46 MB) (new)
First published: 05/05/2021 -
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Presentation - Company experience of using artificial intelligence to aid drug development (Boris Braylyan) (PDF/592.34 KB) (new)
First published: 05/05/2021 -
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Presentation - Big Data Taskforce recommendations and regulatory science strategy on artificial intelligence (Gianmario Candore) (PDF/419.28 KB) (new)
First published: 05/05/2021 -
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Presentation - EMA's network strategy to 2025 - Strategy for digital transformation (Jesper Kjær) (PDF/427.5 KB) (new)
First published: 05/05/2021 -
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Presentation - Artificial intelligence and digitalisation at EMA (Joaquim Jornet, Florence Butlen) (PDF/707 KB) (new)
First published: 05/05/2021 -
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Presentation - Big data training survey (Jörg Zinserling) (PDF/180.24 KB) (new)
First published: 05/05/2021 -
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Presentention - Artificial intelligence in therapeutic development - A policy perspective (Khair El Zarrad) (PDF/2.7 MB) (new)
First published: 05/05/2021 -
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Presentation - Artificial intelligence, digital twins and the promise of personalised medicine (Liesbet Geris) (PDF/2.69 MB) (new)
First published: 05/05/2021 -
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Presentation - Novel methods in pharmacovigilance - Use cases in VigiBase (Lucie Gattepaille) (PDF/2.38 MB) (new)
First published: 05/05/2021 -
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Presentation - Putting machine learning into real-world practice patient-level prediction development and validation in observational data (Peter Rijnbeek) (PDF/2.05 MB) (new)
First published: 05/05/2021 -
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Presentation - Artificial intelligence in medical devices and digital healthcare applications – the BfArM perspective (Wolfgang Lauer) (PDF/2.94 MB) (new)
First published: 05/05/2021