Artificial intelligence and mechanistic modeling for clinical decision making in oncology
S Benzekry - Clinical Pharmacology & Therapeutics, 2020 - Wiley Online Library
The amount of “big” data generated in clinical oncology, whether from molecular, imaging,
pharmacological, or biological origin, brings novel challenges. To mine efficiently this source …
pharmacological, or biological origin, brings novel challenges. To mine efficiently this source …
Current mathematical models for cancer drug discovery
L Carrara, SM Lavezzi, E Borella… - Expert opinion on …, 2017 - Taylor & Francis
Introduction: Pharmacometric models represent the most comprehensive approaches for
extracting, summarizing and integrating information obtained in the often sparse, limited …
extracting, summarizing and integrating information obtained in the often sparse, limited …
Looking beyond the cancer cell for effective drug combinations
JR Dry, M Yang, J Saez-Rodriguez - Genome medicine, 2016 - Springer
Combinations of therapies are being actively pursued to expand therapeutic options and
deal with cancer's pervasive resistance to treatment. Research efforts to discover effective …
deal with cancer's pervasive resistance to treatment. Research efforts to discover effective …
[HTML][HTML] Model driven optimization of antiangiogenics+ cytotoxics combination: application to breast cancer mice treated with bevacizumab+ paclitaxel doublet leads to …
S Mollard, J Ciccolini, DC Imbs, R El Cheikh… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Bevacizumab is the first-in-class antiangiogenic drug and is almost always administrated in
combination with cytotoxics. Reports have shown that bevacizumab could induce a transient …
combination with cytotoxics. Reports have shown that bevacizumab could induce a transient …
Revisiting bevacizumab+ cytotoxics scheduling using mathematical modeling: proof of concept study in experimental non‐small cell lung carcinoma
DC Imbs, R El Cheikh, A Boyer… - CPT …, 2018 - Wiley Online Library
Concomitant administration of bevacizumab and pemetrexed‐cisplatin is a common
treatment for advanced nonsquamous non‐small cell lung cancer (NSCLC). Vascular …
treatment for advanced nonsquamous non‐small cell lung cancer (NSCLC). Vascular …
Viscoelastic modeling of the fusion of multicellular tumor spheroids in growth phase
G Dechristé, J Fehrenbach, E Griseti, V Lobjois… - Journal of theoretical …, 2018 - Elsevier
Background. Since several decades, the experiments have highlighted the analogy of fusing
cell aggregates with liquid droplets. The physical macroscopic models have been derived …
cell aggregates with liquid droplets. The physical macroscopic models have been derived …
[HTML][HTML] Exploiting synthetic lethality and network biology to overcome EGFR inhibitor resistance in lung cancer
Despite the recent approval of third-generation therapies, overcoming resistance to
epidermal growth factor receptor (EGFR) inhibitors remains a major challenge in non-small …
epidermal growth factor receptor (EGFR) inhibitors remains a major challenge in non-small …
Modeling longitudinal preclinical tumor size data to identify transient dynamics in tumor response to antiangiogenic drugs
LG Hutchinson, HJ Mueller, EA Gaffney… - CPT …, 2016 - Wiley Online Library
Experimental evidence suggests that antiangiogenic therapy gives rise to a transient
window of vessel normalization, within which the efficacy of radiotherapy and chemotherapy …
window of vessel normalization, within which the efficacy of radiotherapy and chemotherapy …
A tumor-in-host DEB-based approach for modeling cachexia and bevacizumab resistance
Adequate energy intake and homeostasis are fundamental for the appropriate growth and
maintenance of an organism; the presence of a tumor can break this equilibrium. Tumor …
maintenance of an organism; the presence of a tumor can break this equilibrium. Tumor …
A Spatially Resolved Mechanistic Growth Law for Cancer Drug Development Predicting Tumor Growing Fractions
Mathematical models used in preclinical drug discovery tend to be empirical growth laws.
Such models are well suited to fitting the data available, mostly longitudinal studies of tumor …
Such models are well suited to fitting the data available, mostly longitudinal studies of tumor …