Academy of Finland
Funding decision
Applicant / Contact person Kuokkanen, Mikko
Organisation Finnish Institute for Health and Welfare
Project title Temporal disease map based stratification of depression-related multimorbidities: towards quantitative investigations of patient trajectories and predictions of multi-target drug candidates
Decision No. 334766
Decision date 21.11.2019
Funding period 01.01.2020 - 31.12.2022
Funding 299 920
WebFOCUS Report
Project description
Depression is frequently comorbid with other psychiatric and somatic disorders resulting in extensive use of diverse pharmacological treatments, decreased quality of life and increased mortality rate. However, comorbidities may inform us about the different biological pathways leading to and active in depression and thus can guide personalized medicine. In this project we aim to apply advanced machine learning methods with existing data sets from public health and biobanks to stratify depression-related multimorbidities using complete clinical patient trajectories, medication history, metabolic, environmental risk profile, social inequalities and GWAS data. These strata will allow the development of a multimorbidity-adjusted disability score (MADS) for quantitative comparison, for health risk assessment and the application of chemoinformatics methods to explore new and more efficient drug candidates that minimize side-effects, drug-drug interactions, and polypharmacy.