Elena Maria Tosca (E M Tosca, Elena M Tosca)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Systematic Review

Top Venues

Clinical pharmacology and therapeutics

Journal of pharmacokinetics and pharmacodynamics

This page only lists publications with an associated author ORCID identifier.

Publications

Alessandro De Carlo, Davide Ronchi, Marco Piastra, Elena Maria Tosca, Paolo Magni
Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks. Pharmaceutics 16 (6) (2024)
Elena Maria Tosca, Alessandro De Carlo, Davide Ronchi, Paolo Magni
Model-Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing. Clinical pharmacology and therapeutics (2024)
Alessandro De Carlo, Elena Maria Tosca, Martina Fantozzi, Paolo Magni
Reinforcement Learning and PK-PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma. Clinical pharmacology and therapeutics 115 (4) (2024)
Elena Maria Tosca, Alessandro De Carlo, Davide Ronchi, Paolo Magni
Model-Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing. Clinical pharmacology and therapeutics 116 (3) (2024)
Alessandro De Carlo, Elena Maria Tosca, Martina Fantozzi, Paolo Magni
Reinforcement Learning and PK-PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma. Clinical pharmacology and therapeutics (2024)
Alessandro De Carlo, Davide Ronchi, Marco Piastra, Elena Maria Tosca, Paolo Magni
Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks. Pharmaceutics 16 (6) (2024)
Alessandro De Carlo, Elena Maria Tosca, Martina Fantozzi, Paolo Magni
Reinforcement Learning and PK-PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma. Clinical pharmacology and therapeutics 115 (4) (2024)
Alessandro De Carlo, Elena Maria Tosca, Martina Fantozzi, Paolo Magni
Reinforcement Learning and PK-PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma. Clinical pharmacology and therapeutics 115 (4) (2024)
Elena Maria Tosca, D Ronchi, M Rocchetti, Paolo Magni
Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach. The AAPS journal 26 (5) (2024)
Elena Maria Tosca, Davide Ronchi, Daniele Facciolo, Paolo Magni
Replacement, Reduction, and Refinement of Animal Experiments in Anticancer Drug Development: The Contribution of 3D In Vitro Cancer Models in the Drug Efficacy Assessment. Biomedicines 11 (4) (2023)
Alessandro De Carlo, Elena Maria Tosca, Nicola Melillo, Paolo Magni
A two-stages global sensitivity analysis by using the δ sensitivity index in presence of correlated inputs: application on a tumor growth inhibition model based on the dynamic energy budget theory. Journal of pharmacokinetics and pharmacodynamics (2023)
Elena Maria Tosca, Davide Ronchi, Daniele Facciolo, Paolo Magni
Replacement, Reduction, and Refinement of Animal Experiments in Anticancer Drug Development: The Contribution of 3D In Vitro Cancer Models in the Drug Efficacy Assessment. Biomedicines 11 (4) (2023)
Elena Maria Tosca, Maurizio Rocchetti, Elena Pérez, Conchi Nieto, Paolo Bettica, Jaime Moscoso Del Prado, Paolo Magni, Giuseppe De Nicolao
In Vitro-In Vivo Correlation (IVIVC) Population Modeling for the In Silico Bioequivalence of a Long-Acting Release Formulation of Progesterone. Pharmaceutics 13 (2) (2021)
Elena Maria Tosca, N Terranova, K Stuyckens, A G Dosne, T Perera, J Vialard, P King, T Verhulst, J J Perez-Ruixo, P Magni, I Poggesi
A translational model-based approach to inform the choice of the dose in phase 1 oncology trials: the case study of erdafitinib. Cancer chemotherapy and pharmacology (2021)
Elena Maria Tosca, Roberta Bartolucci, Paolo Magni
Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules. Pharmaceutics 13 (7) (2021)