DRA symposium

Programme:

Chair:  Morten Andersen, Department of Drug Design and Pharmacology

13:00

Opening: Five decades of methodologies in drug discovery and development with AI and ML next in row
Ole J. Bjerrum, Department of Drug Design and Pharmacology
13:10

Intro:  Artificial intelligence for big-data analytics in pharmaceutical science: definitions, area of applicability, and common misconceptions
Maurizio Sessa, Department of Drug Design and Pharmacology
13:30

Applications: Creative computer algorithms in drug discovery suggest what to make and how to make it
Esben. J. Bjerrum, AstraZeneca
13:50

Discovery of human signaling systems
David Gloriam, Department of Drug Design and Pharmacology
14:10

From drug profile to drug combination
Albert Kooistra, Department of Drug Design and Pharmacology
Discussion
14:40 Refreshments

Chair:  Ole J. Bjerrum, Department of Drug Design and Pharmacology

15:10

Challenges in implementation of data science in pharmaceutical product design
Jukka Rantanen, Department of Pharmacy
15:30 AI/ML for pharmacoepidemiological research
Maurizio Sessa, Department of Drug Design and Pharmacology
15:50

AI and data mining for surveillance of drug safety in healthcare databases
Morten Andersen, Department of Drug Design and Pharmacology
16:10

Educational aspecs:  Pharmaceutical data science and digital literacy in PharmaSchool MSc programs
Tommy Nørskov Johansen, Department of Drug Design and Pharmacology

Discussion
16:30

End of the meeting

The symposium will be a semi-virtual meeting. It will be possible to participate online via Zoom, link: https://eu01web.zoom.us/j/7253003535

The symposium is organised on behalf of the graduate programme in pharmaceutical sciences, Drug Research Academy, by Professor  Morten Andersen and Professor emeritus Ole Bjerrum, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen.

The DRA symposium is free of charge and open for attendance by all interested parties.