Demystifying AI and Machine Learning in a Pharmaceutical Context
Discover the basic concepts and terminology and see how AI can support pharmaceutical processes.
Practical information:
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This course is organised for Pharma.be members, they don't publish information about it on their website.
Georganiseerd door:
Session 1: Demystifying Artificial Intelligence
In an interactive session Prof. dr. Johan Loeckx (VUB) will
dive into the concept ‘AI’ where you will learn what is considered
artificial intelligence and what not. He will give an overview of the
field and talk about some current trends. As director of lifelong
learning at the AI Lab (LAIKA) he is well suited to discuss the steps that are necessary to implement AI in your workflow.
Session 2: Introduction to data-based algorithms
In this session we go into depth on the data based algorithms called machine and deep learning techniques. Prof. dr. Dirk Valkenborg (UHasselt) will show different kinds of algorithms like supervised and unsupervised learning methods and discuss the basic terminology involved. Being a researcher at the Data Science Institute (DSI) and the Flanders AI Research program (FLAIR), he gives an insight on some of his own projects which are relevant to the pharmaceutical industry (also see SPEED-XM).
Session 3: Scaling-up health data through standardization with the OMOP common data model
It’s important to collect relevant data in order to start these machine learning pipelines. Having experience in MS research and the MS Data Alliance and expertise on data integration and engineering, Tina and Marcel Parciak (UHasselt) discuss how you can scale up your health data by combining data from different repositories. Centralised and federated approaches might be possible but still need a common language. Therefore a common data model like OMOP can provide a solution. In this session we discuss the different challenges regarding these topics and give an overview of the OHDSI toolbox that accelerates OMOPification.
Timing
Day 1 (12/05/2022)
- 09:00 Welcome
- 09:10 Demystifying Artificial Intelligence (prof. dr. Johan Loeckx - VUB AI Lab)
- 11:30 Introduction to data-based algorithms (prof. dr. Dirk Valkenborg - UHasselt)
- 12:30 End of day 1
Day 2 (13/05/2022)
- 09:00 Introduction to data-based algorithms (prof. dr. Dirk Valkenborg - UHasselt)
- 10:15 Scaling-up health data through standardization with the OMOP common data model (Tina en Marcel Parciak - UHasselt)
- 12:00 End of day 2