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Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer

View ORCID ProfileCristian Axenie, Daria Kurz
doi: https://doi.org/10.1101/2020.06.08.140756
Cristian Axenie
1Audi Konfuzius-Institut Ingolstadt Lab, Technische Hochschule Ingolstadt, Ingolstadt, Germany,
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  • ORCID record for Cristian Axenie
  • For correspondence: cristian.axenie@audi-konfuzius-institut-ingolstadt.de cristian.axenie@audi-konfuzius-institut-ingolstadt.de
Daria Kurz
2Interdisciplinary Breast Center, Helios Clinic Munich West, Munich, Germany,
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  • For correspondence: daria.kurz@helios-gesundheit.de
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Abstract

Mathematical and computational oncology has increased the pace of cancer research towards the advancement of personalized therapy. Serving the pressing need to exploit the large amounts of currently underutilized data, such approaches bring a significant clinical advantage in tailoring the therapy. CHIMERA is a novel system that combines mechanistic modelling and machine learning for personalized chemotherapy and surgery sequencing in breast cancer. It optimizes decision-making in personalized breast cancer therapy by connecting tumor growth behaviour and chemotherapy effects through predictive modelling and learning. We demonstrate the capabilities of CHIMERA in learning simultaneously the tumor growth patterns, across several types of breast cancer, and the pharmacokinetics of a typical breast cancer chemotoxic drug. The learnt functions are subsequently used to predict how to sequence the intervention. We demonstrate the versatility of CHIMERA in learning from tumor growth and pharmacokinetics data to provide robust predictions under two, typically used, chemotherapy protocol hypotheses.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 09, 2020.
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Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer
Cristian Axenie, Daria Kurz
bioRxiv 2020.06.08.140756; doi: https://doi.org/10.1101/2020.06.08.140756
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Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer
Cristian Axenie, Daria Kurz
bioRxiv 2020.06.08.140756; doi: https://doi.org/10.1101/2020.06.08.140756

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