in cooperation with the CMMC, CCRC, IPHS, Faculty of Medicine - Univ. of Cologne and CECAD
Integration of transcriptomics data with computational models
Anže Županič | National Institute of Biology, Ljubljana
Multi-omics data integration for understanding disease mechanisms
Andreas Beyer | Cellular Networks and Systems Biology, CECAD and CMMC
Improving biological knowledge through computational biology
Philipp Antczak | Lab. of Computational Biology of Ageing, CMMC
Transcriptomic data integration to quantify cell damage at single-cell level
Martin Kann | Department Internal Medicine II & CECAD
Unravelling the power of multivariate modelling and machine learning in life sciences
Eva Caamano Gutierrez | Inst. of Systems, Mol & Integrative Biology, Univ. of Liverpool
Learning health systems: bridging from AI to practice
Oya Beyan | Institute for Medical Informatics
Chromosomal instability and cancer evolution
Roland Schwarz | Computational Cancer Biology
Quantifying information in bioimage data
Kasia Bozek | Inst. for Med. Informatics - Lab. of Data Science of Bioimages, CMMC
tba
Julie George | Clinics Head & Neck Surgery, Department of Translational Genomics
Data science in a radiology department - towards tailored solutions
Liliana Lourenco Caldeira | Inst. of Diagnostic and Interventional Radiology
Biostatistical challenges in single cell omics
Achim Tresch | Inst. of Med. Statistics and Computational Biology and CECAD
Catherin Niemann | Coordinator IPMM Scientific Curriculum, Center for Molecular Medicine Cologne
K. Bozek | Inst. for Med. Informatics, Lab. of Data Science of Bioimages, Center for Molecular Medicine Cologne
P. Antczak | Lab. of Computational Biology of Ageing, Center for Molecular Medicine Cologne