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: Five decades of methodologies in drug discovery and development with AI and ML next in row |
| 13:10 |
Intro: Artificial intelligence for big-data analytics in pharmaceutical science: definitions, area of applicability, and common misconceptions |
| 13:30 |
Applications: Creative computer algorithms in drug discovery suggest what to make and how to make it |
| 13:50 |
Discovery of human signaling systems |
| 14:10 |
From drug profile to drug combination |
| 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 |
| 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 |
| 16:10 |
Educational aspecs: Pharmaceutical data science and digital literacy in PharmaSchool MSc programs |
|
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.