RONCHI, DAVIDE

RONCHI, DAVIDE  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

Mostra records
Risultati 1 - 7 di 7 (tempo di esecuzione: 0.006 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-2023 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.
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 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.
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.