[HTML][HTML] In vitro biomimetic models for glioblastoma-a promising tool for drug response studies

T Stanković, T Ranđelović, M Dragoj, SS Burić… - Drug Resistance …, 2021 - Elsevier
The poor response of glioblastoma to current treatment protocols is a consequence of its
intrinsic drug resistance. Resistance to chemotherapy is primarily associated with …

Going with the flow: modeling the tumor microenvironment using microfluidic technology

H Xie, JW Appelt, RW Jenkins - Cancers, 2021 - mdpi.com
Simple Summary The clinical success of cancer immunotherapy targeting immune
checkpoints (eg, PD-1, CTLA-4) has ushered in a new era of cancer therapeutics aimed at …

Modelling glioblastoma resistance to temozolomide. A mathematical model to simulate cellular adaptation in vitro

M Pérez-Aliacar, J Ayensa-Jiménez… - Computers in Biology …, 2024 - Elsevier
Drug resistance is one of the biggest challenges in the fight against cancer. In particular, in
the case of glioblastoma, the most lethal brain tumour, resistance to temozolomide (the …

Radiofrequency driving antitumor effect of graphene oxide-based nanocomposites: A Hill model analysis

MS Monteiro, MS Mesquita, LM Garcia… - …, 2024 - Taylor & Francis
Aim: This report proposes using the Hill model to assess the benchmark dose, the 50%
lethal dose, the cooperativity and the dissociation constant while analyzing cell viability data …

[HTML][HTML] A mechanobiological model for tumor spheroid evolution with application to glioblastoma: a continuum multiphysics approach

A Carrasco-Mantis, T Randelovic, H Castro-Abril… - Computers in Biology …, 2023 - Elsevier
Background: Spheroids are in vitro quasi-spherical structures of cell aggregates, eventually
cultured within a hydrogel matrix, that are used, among other applications, as a …

Devising a procedure for defining the general criteria of abnormal behavior of a computer system based on the improved criterion of uniformity of input data samples

S Semenov, O Mozhaiev, K Nina… - … -European Journal of …, 2022 - papers.ssrn.com
The object of this study was the process of detecting anomalies in computer systems. The
task to timely detect anomalies in computer systems was solved, based on a mathematical …

[HTML][HTML] Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach

M Pérez-Aliacar, MH Doweidar, M Doblaré… - Computers in Biology …, 2021 - Elsevier
The broad possibilities offered by microfluidic devices in relation to massive data monitoring
and acquisition open the door to the use of deep learning technologies in a very promising …

Tetralol derivative NNC-55-0396 targets hypoxic cells in the glioblastoma microenvironment: an organ-on-chip approach

C Bayona, L Alza, T Ranđelović, MC Sallán… - Cell Death & …, 2024 - nature.com
Glioblastoma (GBM) is a highly malignant brain tumour characterised by limited treatment
options and poor prognosis. The tumour microenvironment, particularly the central hypoxic …

An in silico glioblastoma microenvironment model dissects the immunological mechanisms of resistance to PD‐1 checkpoint blockade immunotherapy

Z Zhang, L Liu, C Ma, X Cui, RHW Lam… - Small …, 2021 - Wiley Online Library
The PD‐1 immune checkpoint‐based therapy has emerged as a promising therapy strategy
for treating the malignant brain tumor glioblastoma (GBM). However, patient response varies …

A multiphysics hybrid continuum—agent-based model of in vitro vascularized organoids

A Carrasco-Mantis, E Reina-Romo… - Computers in Biology …, 2025 - Elsevier
Background: Organoids are 3D in vitro models that fulfill a hierarchical function, representing
a small version of living tissues and, therefore, a good approximation of cellular …