We aim to optimize therapeutic approaches (i.e., controlling toxicities and improve safety while ensuring a maximal efficacy) in oncology using mechanistic modeling and data science. Treatments include immunotherapy, radiotherapy, chemotherapy, targeted therapies and their planification: combinations, sequences, intensification – densification, dosing and scheduling.
Research directions
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Quantitative modeling for personalized clinical oncology
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Individualizing anticancer drugs regimen
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Optimizing combinatorial strategies with immune checkpoint inhibitors
