May 12, 2022 2:00 PM / Everyone

Medicine informatics to investigate diseases

Venkata Satagopam from the Luxembourg Centre for System Biomedicine, Université du Luxembourg

Venue: Otto-Stern-Zentrum (OSZ), seminar room H4 Max-von-Laue-Straße/Ruth-Moufang-Straße 60438 Frankfurt, May 12th 2022, 2pm

Clinical and translational medicine informatics approaches to investigate complex diseases for stratification and early biomarker discovery

Neurodegenerative (e.g. PD - Parkinson’s disease), immunological (e.g IBD - Inflammatory Bowl Disease, MS - Multiple Sclerosis, RA - Rheumatoid Arthritis) and recent COVID19 diseases are quite complex in their etiology. In order to stratify and discover the signatures, biomarkers for early diagnosis, we need high quality clinical cohort studies. This talk will focus on the clinical and translational medicine informatics approaches developed to build up cohorts and to capture the clinical data using state-of-the-art electronic Case Report Forms (eCRFs) encoded with standard ontologies and controlled terminologies. Secure management and efficient integration of clinical, associated molecular data (multi omics - genomics, transcriptomcis, proteomics, metabolomics, lipidomics, microbiome data), imaging and sensor/mobile data. Interoperability of this heterogeneous data in content and format is another challenge. It involves, mammoth task of data curation, harmonisation and FAIRification (making data Findable, Accessible, Interoperable and Reusable) to facilitate the cross study analysis. Application of statistical and Machine Learning (ML) methods to analyse multi-layered data to stratify the patients into different subgroups based on disease severity and progression and identification of biomarkers representing each subgroup. In addition, application of knowledge management methods, disease maps, to discover the mechanistic models and co-morbidities of these complex diseases.