Research proposal submitted to SSF encompassing 19 MSEK

Professor Henrik Boström and associate professor Lars Asker from System Analysis and associate professor Hercules Dalianis from IT for Health submitted a research proposal with the title High-Performance Data Mining for Drug Effect Detection to SSF (Strategiska stiftelsen) encompassing 19 MSEK and 5 years. University of Borås is co-applicant. Stakeholders are Astra Zeneca,  Karolinska University Hospital and Karolinska Institutet,  TakeCare – Compugroup Medical as well as Hjärt- och Lungsjukas Riksförbund. The aim of the project is to detect adverse drug reactions based on models and data repositories within the pharmaceutical industry but also on “real” data such as electronic patient records and registries of prescribed drugs, and in the form of globally collected individual case safety reports. The detection will be carried using various data and text mining methods implemented in a parallel computing system for fast and efficient processing. The outcome of the project will be faster drug development, less adverse drug reactions and better treatment of patients.