Ronchi, Davide

Ronchi, Davide  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Risultati 1 - 12 di 12 (tempo di esecuzione: 0.02 secondi).
Titolo Data di pubblicazione Autore(i) File
A tumor-in-host Dynamic Energy Budget (DEB)-based paradigm for preclinical to clinical translation: predictions of tumor-in-host growth dynamics 1-gen-2021 Tosca, E. M.; Castellano, S.; Ronchi, D.; Rocchetti, M.; Magni, P.
Facing the limits of the genetic algorithms for covariate selection 1-gen-2022 Ronchi, D.; Tosca, E. M.; Ravasi, I.; Bartolucci, R.; Magni, P.
Go beyond the limits of genetic algorithm in daily covariate selection practice 1-gen-2024 Ronchi, D.; Tosca, E. M.; Bartolucci, R.; Magni, P.
Model-based analysis of patient-derived organoids for evaluating anticancer drugs 1-gen-2023 Ronchi, D.; Tosca, E. M.; De Siervi, S.; Turato, C.; Lolicato, M. G.; Magni, P.
Model-informed reinforcement learning for enabling precision dosing via adaptive dosing 1-gen-2024 Tosca, E. M.; De Carlo, A.; Ronchi, D.; Magni, P.
Modeling tumor growth inhibition in Glioblastoma spheroids after exposure to RC-106, a novel sigma receptors modulator 1-gen-2024 Aiello, L.; Tosca, E. M.; Ronchi, D.; Ceccarelli, G.; Listro, R.; Collina, S.; Magni, P.
Patient-derived liver organoids as an in vitro model to study new personalized therapies targeting VDAC1 in intrahepatic cholangiocarcinoma 1-gen-2023 De Siervi, S.; Nibali, S. Conti; Mantovani, S.; Oliviero, B.; Mondelli, M. U.; Di Pasqua, L. G.; Ronchi, D.; Lolicato, M. G.; Turato, C.
Predicting ADMET properties from molecule SMILE: a bottom-up approach using attention-based Graph Neural Networks 1-gen-2024 De Carlo, A.; Ronchi, D.; Piastra, M.; Tosca, E. M.; Magni, P.
Predicting tumor volume doubling time and progression-free survival curves in cancer patients from patient-derived-xenograft (PDX) models: a translational model-based population approach 1-gen-2023 Tosca, E. M.; Ronchi, D.; Cossali, M.; Zavetteri, M.; Rocchetti, M.; Magni, P.
Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach 1-gen-2024 Tosca, E. M.; Ronchi, D.; Rocchetti, M.; Magni, P.
Replacement, Reduction, and Refinement of Animal Experiments in Anticancer Drug Development: The Contribution of 3D In Vitro Cancer Models in the Drug Efficacy Assessment 1-gen-2023 Tosca, E. M.; Ronchi, D.; Facciolo, D.; Magni, P.
Translational modeling of tumor response to treatment: bridging preclinical to clinical studies 1-gen-2024 Ronchi, D.; Tosca, E. M.; Comets, E.; Bertrand, J.; Magni, P.