In Silico Clinical Trials for treatment of Acute Ischemic stroke (INSIST)

There is no medical discipline where treatment and treatment selection is as dynamic as in acute ischemic stroke. However, the introduction of these novel treatments are accompanied with high costs due to validation stages in clinical trials. In INSIST we develop an in silico alternative where disease and treatment is captures in computer models such that whole clinical trials can be simulated. This also involved data-driven AI modeling



Servier, Cerenovus


Journal Articles


A. Hilbert, L.A. Ramos, H.J.A. van Os, S.D. Olabarriaga, M.L. Tolhuisen, M.J.H. Wermer, R.S. Barros, I. van der Schaaf, D. Dippel, Y.B.W.E.M. Roos, W.H. van Zwam, A.J. Yoo, B.J. Emmer, G.J. Lycklama À Nijeholt, A.H. Zwinderman, G.J. Strijkers, C.B.L.M. Majoie, H.A. Marquering

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke Journal Article

Computers in Biology and Medicine, 115 , 2019.

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