AI in biomedical research: concepts, perspectives, tools
Mini-symposium with talks by invited speakers and workshops
Christoph Bock, Professor & Principal investigator, Center for Molecular Medicine of the Austrian Academy of Sciences (CeMM), Vienna
Claes Nøhr Ladefoged, Postdoctoral researcher, Rigshospitalet
Katharina Ó Cathaoir, Associate professor, UCPH Faculty of Law
Casper Wilstrup, founder and CEO of Abzu
Biocenter/BRIC Biotech Research and Innovation Centre, Ole Maaløes Vej 5, 2200 CPH N
Workshops will run in parallel in the afternoon (13:30-16:30).
Choose one of following workshops (duration 3 hours):
1) Workshop 1: Using AI in academic writing
Attend this workshop if you want to learn:
- How to develop the right mindset for using AI for academic purposes
- How to convert ChatGPT into your research assistant
- How to brainstorm research questions with AI
- How to use AI-powered search engines
- How to use AI-powered apps Research Rabbit, R Discovery, Scholarcy and SciSpace, Lateral and many more
Teacher:
Mushtaq Bilal, postdoctoral researcher at the University of Southern Denmark's Hans Christian Andersen Center. He holds a PhD in comparative literature from Binghamton University. Mushtaq is known for developing ways of incorporating AI apps into academic writing. He has an audience of more than 225,000 on Twitter and 60,000 on LinkedIn where he regularly shares tips on how to become an efficient academic writer with AI apps. His work has been featured in publications like Nature, Der Spiegel, and Times Higher Education.
2) Workshop 2: Explainable AI applied to Life Science
During this workshop we will have a ~30 min introduction to explainable AI and how it differs from "black box" AI. Then we will have a more detailed session where we walk through the modelling process in two different case studies:
- Disease understanding using omics data (~45 min)
- Predicting siRNA drug properties (~45 min)
Teachers:
Disa Tehler is an RNA expert and drug designer with 15+ years’ research experience in academia and pharma. She holds an MSc in Biotechnology Engineering from Uppsala University and a PhD in Molecular Biology from BRIC. At Abzu, she leads the AI-driven RNA therapeutics drug discovery platform.
Meera Machado holds a PhD in Physics from the University of Copenhagen in High Energy Physics, specializing in Heavy Ions. At Abzu, Meera explores how explainable machine learning is applied in disease understanding, clinical decision-making and RNA therapeutics.
In case you have any questions you are welcome to contact momed@bric.ku.dk.