Data science tools in pharmaceutical research with emphasis on machine learning (ML) and artificial intelligence (AI)
Chair: Morten Andersen, Department of Drug Design and Pharmacology
Opening: Three decades of drivers in drug discovery and development with AI and ML next in row
Intro: Artificial intelligence for big-data analytics in pharmaceutical science: definitions, area of applicability, and common misconceptions
Educational aspecs: Pharmaceutical data science and digital literacy in PharmaSchool MSc programs
Applications: Creative computer algorithms in drug discovery suggest what to make and how to make it
Discovery of human signaling systems
From drug profile to drug combination
Chair: Ole J. Bjerrum, Department of Drug Design and Pharmacology
Challenges in implementation of data science in pharmaceutical product design
|15:30||AI/ML for pharmacoepidemiological research
Maurizio Sessa, Department of Drug Design and Pharmacology
AI and data mining for surveillance of drug safety in healthcare databases
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.