Author

M. Fliess

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Biology Disciplines

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Cancer Biology· 1 Immunology· 1

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1

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C. Join· 2 shared S. M. Djouadi· 2 shared J. Day· 1 shared K. Moussa· 1 shared M. Alsager· 1 shared O. Bara· 1 shared

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2018-2021 · peak 1/yr

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2 shared papersCancer Biology

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2 papers

Recent·Most cited

Preliminary in silico experiments: Towards new cancer treatments?

M. Fliess, C. Join, K. Moussa, S. M. Djouadi, M. Alsager

The paper presents in silico experiments combining chemo- and immunotherapy using flatness-based and model-free control to manage drug dose uncertainties and improve treatment outcomes.

bioRxiv · Apr 6, 2021 · PreprintCancer Biology

Toward a model-free feedback control synthesis for treating acute inflammation -- A mathematical perspective

O. Bara, M. Fliess, C. Join, J. Day, S. M. Djouadi

The paper proposes a model-free feedback control approach for inflammation treatment, using simulations to demonstrate its effectiveness in managing patient-specific responses.

bioRxiv · Apr 4, 2018Immunology