Summary
Join us for this free Morning Coffee Course. If you attend in person, we'll welcome you with coffee and breakfast between 8:30 and 9:00. The lecture starts at 9:00.
Artificial intelligence plays an increasingly important role in healthcare. It is already in use as a tool for data processing and diagnosis, and soon, it will be almost only legislation, ethics, and old habits that limit its capabilities and spread.
In this short Morning Coffee Course, Professor Mads Nielsen presents the latest knowledge on topics such as:
- How artificial intelligence works
- Applications in radiology
- Applications in screening
- Applications in pharmacovigilance
- The path from model to product
Besides relevant and comprehensive lectures, you’ll have the chance to network and discuss with peers.
Keywords
- AI
- Artificial intelligence
- Data processing
- Diagnostics
- Small and medium-sized companies (SMEs)
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Course leader & lecturers
- Mads NielsenCourse leaderProfessor of Computer Science
Københavns Universitet
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Is this course for you?
Are you working in a small or medium-sized life science company and curious about how AI can enhance your daily operations? Then this course is perfect for you. You might work in:
- R&D
- Regulatory affairs and compliance
- Medical and clinical teams
- Drug safety and pharmacovigilance
- IT & Data science
What you will learn
- How artificial intelligence works
- How to go from model to product
- The value creation you achieve, illustrated through concrete cases about brain scans, breast cancer screening, fetal ultrasound screening, and pharmacovigilance.
What your company will get
- An employee who has developed their understanding of the use of AI
- An employee who has expanded their toolbox with concrete tools to implement and use AI in the company
- An employee who is better equipped to leverage the benefits of being part of the digital journey, especially within data processing and diagnostics
Course calendar
5 Sep 2025 9:00-12:00
Day 1
- 08.30-09.00: Coffee and breakfast
- 09.00-12.00: Lecture (including breaks)
Practical information
Registration
Registration deadline31 Aug 2025
Atrium
Lersø Parkallé 101
2100 København Ø
Lersø Parkallé 101
2100 København Ø
Register
5 Sep
Please note: The programme structure may be subject to minor adjustments
Course leader
Mads Nielsen
Professor of Computer ScienceKøbenhavns Universitet
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Want to know more, or need help?
Contact Client Manager Louise V. Petersen at +45 40 44 99 43