Data science tools in pharmaceutical research with emphasis on machine learning (ML) and artificial intelligence (AI)

DRA symposium

Programme:

Chair:  Morten Andersen, Department of Drug Design and Pharmacology

13:00

Opening: Three decades of drivers 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

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

13:40

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

14:00

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

14:20

From drug profile to drug combination
Albert Kooistra, Department of Drug Design and Pharmacology

Discussion
14:45 Refreshments

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

15:05

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

Discussion

16:30

End of meeting


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.