Sunday 22nd – Friday 27th November 2020
A cornerstone of Precision Medicine (PM) is comprehensive knowledge retrieval about the targeted individuals. Molecular identification and characterisation of patients is a high priority. Existing data in today’s digital universe offers tremendous opportunities to achieve this but extracting insights and information from multiple heterogeneous and interdependent data in PM, requires new systems analytics, moving beyond classical algorithmic or mechanical processes and validation against disease models. Through a high-level multidisciplinary training programme, TranSYS aims to close the skills and knowledge gap that professionals and stakeholders in PM observe on a daily basis.
In particular, TranSYS’ 1st training school focuses on “preclinical science and molecular medicine”, addressing anyone who is interested in advancing approaches for the detection, diagnosis, prevention and treatment of complex diseases; linking experimental work in different disease areas with in silico and multi-scale modeling to maximize health benefits of clinical science discoveries and molecular insights.
Online and free to attend. Register here
Our first training school, now online due to COVID, is organised by the TranSYS consortium and the University of Ljubljana Faculty of Medicine. This event offers researchers and students broad training opportunities in scientific and transferable skills such as study design & protocol, data generation & technology, mining of published data, communication & dissemination and includes featured workshops including From experiment to clinic and From Sample to Insight. Official language will be English. Registration is required.
All times are Brussels Winter Time. TranSYS Only Sessions
Abstract submission is now closed.
Click here for information on selected talks and posters
Our Speakers
Monday 23rd November
Chair: Damjana Rozman
14.00 Henning Hermjakob Reproducibility in Systems Biology Modelling — Sometimes
14.45 Vitor Martin ds Santos Computational Methods and Decision Support in Systems Medicine: case study necrotizing soft tissue infections
15.45 Tadeja Režen, Miha Moškon, Damjana Rozman From experimental to computational models
Chair: Prof Dr Sona Vasudevan
16.30 Nikolaus Schultz Keynote lecture: Toward clinical decision support in oncology: Identifying driver alterations and therapeutic options
Tuesday 24th November
Chair: Tadeja Režen
08.30 Vita Dolžan Pharmacogenomics in clinical practice
09.15 Nataša Debeljak, Irena Preložnik Zupan Challenges in the Introduction of NGS in Haematology
10.00 Adil Mardinoglu Addressing the heterogeneity in liver diseases using biological networks
11.00 Christian Pristipino Systems thinking as the framework of systems technicality
11.45 Andrei Zinovyev Artificial Intelligence and Systems Biology
Chair: Benno Schwikowski
13.30 Eran Segal Keynote lecture: Personalized medicine based on gut microbiome and clinical data
15.30 Leif Schauser Workshop: From sampe to insight
Wednesday 25th November
Chair: George Patrinos
09.00 Lude Franke Post-GWAS cohort studies
10.50 Sponsor lecture: Brina Frim, kemomed d.o.o. Select the right CO2 incubator for your laboratory
11.00 Lili Milani Pharmacogenetic studies in biobanks
Chair: Kristel Van Steen
13.30 Cornelia Van Duijn Cohorts for Aging Research
15.30 Arne Bormans Agile Project Methodology: the Frameworks and the Mindset
Thursday 26th November
Chair: Andrew Walakira
09.00 Markus Butz-Ostendorf Mining and digesting tons of information
11.00 Paco Real Experimental designs
Chair: Kristel Van Steen
15.30 David Ge Emerging concepts in liquid biopsies
Friday 27th November
Chair: Lude Franke
09.00 Peter Claes Imaging in the Era of Big Data
11.00 Alexander Skupin iPSC and single cell RNAseq
Chair: Kristel Van Steen
15.30 Ritchie Head Open Science and Open Innovation in Horizon Europe
16.15 Brad Greenwood Gender biases and their impact in the context of health sciences
Click here for recordings of talks