| mvLognCorrEst: an R package for sampling from multivariate lognormal distributions and estimating correlations from uncomplete correlation matrix A De Carlo, EM Tosca, N Melillo, P Magni Computer Methods and Programs in Biomedicine 235, 107517, 2023 | 7 | 2023 |
| In silico trial for the assessment of givinostat dose adjustment rules based on the management of key hematological parameters in polycythemia vera patients EM Tosca, A De Carlo, R Bartolucci, F Fiorentini, S Di Tollo, M Caserini, ... CPT: Pharmacometrics & Systems Pharmacology 13 (3), 359-373, 2024 | 2 | 2024 |
| Integrating reinforcement learning and PK-PD modelling to enable precision dosing: a multi-objective optimization for the treatment of polycithemia vera patients with givinostat A De Carlo, EM Tosca, P Magni PAGE, 2023 | 2 | 2023 |
| Reinforcement Learning and PK‐PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma A De Carlo, EM Tosca, M Fantozzi, P Magni Clinical Pharmacology & Therapeutics 115 (4), 825-838, 2024 | 1 | 2024 |
| 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 … A De Carlo, EM Tosca, N Melillo, P Magni Journal of Pharmacokinetics and Pharmacodynamics 50 (5), 395-409, 2023 | 1 | 2023 |
| Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks A De Carlo, D Ronchi, M Piastra, EM Tosca, P Magni Pharmaceutics 16 (6), 776, 2024 | | 2024 |
| Combining Reinforcement Learning and PK-PD models to personalize multiple drug administration: an application to Axitinib-Anti-Hypertensive treatment in metastatic renal cancer … A De Carlo, EM Tosca, N Terranova, P Magni PAGE 32, 2024 | | 2024 |
| PopPK-PD modelling of Carboplatin-induced myelosuppression to support therapeutic drug monitoring and dose individualization in cancer patients using Electronic Health Record Data A De Carlo, M Crul, T Schutte, L van Zuylen, I Bahce, CF Loo, ... PAGE 32, 2024 | | 2024 |
| Dealing with stochasticity in precision dosing decision-making processes by fully exploiting PK-PD modelling in Reinforcement Learning algorithms. A practical case-study on … A De Carlo, EM Tosca, P Magni PAGE 32, 2024 | | 2024 |
| How modelling and simulations combined with artificial intelligence can improve precision dosing A De Carlo, EM Tosca, R Bartolucci, S Castellano, F Fiorentini, S Manzoni, ... International Congress of Therapeutic Drug Monitoring and Clinical Toxicology 20, 2022 | | 2022 |
| A Two-Stages Global Sensitivity Analysis in presence of correlated inputs: Application on a Tumor-in-host-growth Inhibition model based on the Dynamic Energy Budget theory A De Carlo, EM Tosca, N Melillo, P Magni Page Meeting 30, 2022 | | 2022 |
| Model‐Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing EM Tosca, A De Carlo, D Ronchi, P Magni Clinical Pharmacology & Therapeutics, 0 | | |
