Clinical implications of in silico mathematical modeling for glioblastoma: a critical review
M Protopapa, A Zygogianni, GS Stamatakos… - Journal of neuro …, 2018 - Springer
Glioblastoma remains a clinical challenge in spite of years of extensive research. Novel
approaches are needed in order to integrate the existing knowledge. This is the potential …
approaches are needed in order to integrate the existing knowledge. This is the potential …
[HTML][HTML] High-throughput binding affinity calculations at extreme scales
Background Resistance to chemotherapy and molecularly targeted therapies is a major
factor in limiting the effectiveness of cancer treatment. In many cases, resistance can be …
factor in limiting the effectiveness of cancer treatment. In many cases, resistance can be …
A study on the predictability of acute lymphoblastic leukaemia response to treatment using a hybrid oncosimulator
E Ouzounoglou, E Kolokotroni, M Stanulla… - Interface …, 2018 - royalsocietypublishing.org
Efficient use of Virtual Physiological Human (VPH)-type models for personalized treatment
response prediction purposes requires a precise model parameterization. In the case where …
response prediction purposes requires a precise model parameterization. In the case where …