The Systems Biology of Drug Resistance in Cancer group, led by professor Sampsa Hautaniemi, focuses on understanding and finding effective means to overcome drug resistance in cancers. Our approach is to use systems biology, i.e., analyze molecular & clinical data from cancer patients with machine learning and mathematical methods, to identify efficient patient-specific therapeutic targets. Our work is cross-disciplinary and done in close collaboration with researchers from various disciplines, including clinicians, cell biologists and geneticians. The main objective of our research is to obtain hypotheses and predictions that can be tested in wet-lab or in clinical trials and thereby translate medical data into benefits in cancer patient care.
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@HautaniemiLab

How can we get #biomarkers and #precisiononcology into clinical use? Hear the experts and join the discussions Aug… twitter.com/i/web/status/1…

#Ovariancancer needs new treatment options – joined forces in Helsinki and Turku #AKA_Terva #TieteelläTerveyteentwitter.com/i/web/status/1…

An essential part of our research is understanding the huge heterogeneity in #ovariancancer In this blog post… twitter.com/i/web/status/1…

#SBLread twitter.com/nlbigas/status…