Patient‐Specific Modelling in Drug Design, Development and Selection Including its Role in Clinical Decision‐Making

N Shublaq, C Sansom… - Chemical Biology & Drug …, 2013 - Wiley Online Library
Genomics has made enormous progress in the twelve years since the publication of the first
draft human genome sequence, but it has not yet been translated into the clinic. Despite …

[HTML][HTML] Differentiation resistance through altered retinoblastoma protein function in acute lymphoblastic leukemia: in silico modeling of the deregulations in the G1/S …

E Ouzounoglou, D Dionysiou, GS Stamatakos - BMC Systems Biology, 2016 - Springer
Background As in many cancer types, the G1/S restriction point (RP) is deregulated in Acute
Lymphoblastic Leukemia (ALL). Hyper-phosphorylated retinoblastoma protein (hyper-pRb) …

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 …

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study

O Spjuth, A Karlsson, M Clements… - Journal of the …, 2017 - academic.oup.com
Objective: We provide an e-Science perspective on the workflow from risk factor discovery
and classification of disease to evaluation of personalized intervention programs. As case …

Navigating Multi-scale Cancer Systems Biology towards Model-driven Personalized Therapeutics

MN Gondal, SU Chaudhary - bioRxiv, 2021 - biorxiv.org
Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of biomolecular data on cancer that now …

The standardized histogram shift of t2 magnetic resonance image (MRI) signal intensities of nephroblastoma does not predict histopathological diagnostic information

S Müller, R David, K Marias, N Graf - Cancer Informatics, 2015 - journals.sagepub.com
The objective of this study is to assess standardized histograms of signal intensities of T2-
weighted magnetic resonance image (MRI) modality before and after preoperative …

The importance of grid size and boundary conditions in discrete tumor growth modeling

G Tzedakis, G Grekas, E Tzamali… - Proceedings of the …, 2014 - ieeexplore.ieee.org
Modeling tumour growth has proven a very challenging problem, mainly due to the fact that
cancer is a very complex process that spans multiple scales both in time and space. The …

Computational biomedicine: a challenge for the twenty-first century.

PV Coveney, NW Shublaq - EFMI-STC, 2012 - books.google.com
With the relentless increase of computer power and the widespread availability of digital
patient-specific medical data, we are now entering an era when it is becoming possible to …

[PDF][PDF] Multiscale Modeling For MRI Analysis of Brain Cancer

BK Patil, N Syed, Z ul Hasan - academia.edu
The tumor detection, segmentation, classification is used as the processing method for
cancer growth. By applying noise filtering the unwanted pixels or error can remove. For …

Bridging Social Media Technologies and Scientific Research: A Twitter-Enabled Platform for VPH Modeling

V Sakkalis, S Sfakianakis, K Marias - … 2012, Paris, France, November 21-23 …, 2013 - Springer
Social media and the Web2. 0 technologies are ubiquitous and due to the advances in
mobile communication protocols, operating systems, and internet standards they are now …