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 …

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 …

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 …

[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 …

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 …

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 …

[HTML][HTML] Exploiting synthetic lethality and network biology to overcome EGFR inhibitor resistance in lung cancer

S Vyse, A Howitt, PH Huang - Journal of molecular biology, 2017 - Elsevier
Despite the recent approval of third-generation therapies, overcoming resistance to
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 …

A tumor-in-host DEB-based approach for modeling cachexia and bevacizumab resistance

EM Tosca, M Rocchetti, E Pesenti, P Magni - Cancer Research, 2020 - AACR
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 …

A Spatially Resolved Mechanistic Growth Law for Cancer Drug Development Predicting Tumor Growing Fractions

A Nasim, J Yates, G Derks, C Dunlop - Cancer Research Communications, 2022 - AACR
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 …