WEDNESDAY, 7 NOVEMBER 2018
PRE-CONFERENCE WORKSCHOP
- HANDS-ON COMPUTATIONAL COURSE
Objectives: To overview and conquer selected state-of-the-art computational approaches and available software for dynamical and statistical modelling and apply these in research and healthcare
• How to construct and analyze biological networks
• How to find and/or overcome the missing data
• To find the interactions among the modelling, the wet-lab and the clinics - 09:00 – 09:15
- Computational modelling from life science perspective – introduction
Prof. Dr. Damjana Rozman, Centre for Functional Genomics and Bio-chips, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Slovenia - 09:15 – 10:45
- Large scale computational modelling of complex liver metabolism: object oriented perspective – hands on tutorial
Dr. Miha Moškon, Faculty of Computer and Information Science, University of Ljubljana
Drs. Tanja Cvitanović Tomaš, Centre for Functional Genomics and Bio-chips, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Slovenia - 11:00 – 12:30
- Networks and Machine learning in Medicine – hands on tutorial
Dr. Tavpritesh Sethi, Indraprastha Institute of Information Technology, Delhi, India - 12:30 – 13:30
- LUNCH
- Computational modeling for clinicians – taking big data in clinical decision making
Objectives: To share a vision into the future of big data in clinical decision making, and an overview of new technologies for communicating with colleagues and patients.
• What would change the world for a patient?
• How to bring big data in daily clinical care
• What, and how fast, is this technology coming to clinical practice. - 13:30 – 14.30
- Molecular classification of disease – an introduction to a new way of thinking in medicine
Prof. Dr. T.R.D.J. Radstake, University Medical Center Utrecht, The Netherlands - 14.30 – 15.30
- Computational modeling for clinicians – getting useful clinical decisions out of big data
Dr. Aridaman Pandit, University Medical Center Utrecht, The Netherlands - 15.30 – 16.30
- Epigenomic signatures as prognostic biomarkers in rheumatoid arthritis
Prof. Dr. Carl Goodyear, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, United Kingdom
Cookies are small text files that contain information stored in your computer's web browser while browsing the Easym website and can be removed at any time. We use cookies for the best possible use of easym.eu, your correct browsing, linking and moving to pages. We also use cookies to analyze how visitors use easym.eu, how they are browsing, or have a problem to fix, and to improve the structure and content of easym.eu.