Can data science help you to make a better pharmaceutical product?
DRA symposium
Designing a pharmaceutical product is often driven by experimental work. Recent development of computer performance has opened up new opportunities for utilizing data science as a part of drug development. Machine learning can be utilized for extracting relevant knowledge from experimental work pointing towards the ideal formulation strategy. Including the key elements of data based on wearable point-of-care devices can open up a totally new dimension for treating a patient. All this requires selection of a right data science approach. This symposium is providing practical examples and an overview of the use of data science as a part of pharmaceutical product design.
Programme
| 14:00 | Welcome, chairman Professor Jukka Rantanen |
| 14:10 | Deep learning of intermolecular interactions Professor Tonglei Li, Purdue University, IN (US) |
| 14:45 | COFFEE BREAK |
| 15:00 | Data science as a part of product design – academic view A/Professor Johan Bøtker, KU PHARMA (DK) |
| 15:20 | Implementation of data sciences in an industrial setting Dr. Jian Wu, Novo Nordisk (DK) |
| 15:40 | Overview of the future needs – case studies from the audience Dr. Kārlis Bērziņš, KU PHARMA (DK), Dr. Inês C. B. Martins, KU PHARMA (DK), + ad hoc speakers |
| 15:50 | Q & A – all speakers |
| 16:10-16.30 | Networking |
The symposium is organized on behalf of the graduate programme in pharmaceutical sciences, Drug Research Academy, by Professor Jukka Rantanen, Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen.
The symposium is free of charge and open for attendance by all interested parties. It is not necessary to pre-register.