| Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents M Simeoni, P Magni, C Cammia, G De Nicolao, V Croci, E Pesenti, ... Cancer research 64 (3), 1094-1101, 2004 | 598 | 2004 |
| Modelling methodology for physiology and medicine E Carson, C Cobelli Newnes, 2013 | 387 | 2013 |
| 2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial J Kropff, S Del Favero, J Place, C Toffanin, R Visentin, M Monaro, ... The lancet Diabetes & endocrinology 3 (12), 939-947, 2015 | 256 | 2015 |
| A review of mixed‐effects models of tumor growth and effects of anticancer drug treatment used in population analysis B Ribba, NH Holford, P Magni, I Trocóniz, I Gueorguieva, P Girard, C Sarr, ... CPT: pharmacometrics & systems pharmacology 3 (5), 1-10, 2014 | 209 | 2014 |
| Temporal data mining for the quality assessment of hemodialysis services R Bellazzi, C Larizza, P Magni, R Bellazzi Artificial intelligence in medicine 34 (1), 25-39, 2005 | 148 | 2005 |
| Day-and-night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: results of a single-arm 1-month experience compared with a previously … E Renard, A Farret, J Kropff, D Bruttomesso, M Messori, J Place, ... Diabetes Care 39 (7), 1151-1160, 2016 | 124 | 2016 |
| A mathematical model to study the effects of drugs administration on tumor growth dynamics P Magni, M Simeoni, I Poggesi, M Rocchetti, G De Nicolao Mathematical biosciences 200 (2), 127-151, 2006 | 110 | 2006 |
| Intelligent analysis of clinical time series: an application in the diabetes mellitus domain R Bellazzi, C Larizza, P Magni, S Montani, M Stefanelli Artificial intelligence in medicine 20 (1), 37-57, 2000 | 105 | 2000 |
| Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients S Montani, P Magni, R Bellazzi, C Larizza, AV Roudsari, ER Carson Artificial intelligence in medicine 29 (1-2), 131-151, 2003 | 88 | 2003 |
| A hierarchical Naive Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays F Demichelis, P Magni, P Piergiorgi, MA Rubin, R Bellazzi BMC bioinformatics 7, 1-12, 2006 | 87 | 2006 |
| Deciding when to intervene: a Markov decision process approach P Magni, S Quaglini, M Marchetti, G Barosi International Journal of Medical Informatics 60 (3), 237-253, 2000 | 86 | 2000 |
| Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-γ-glutamic … I Massaiu, L Pasotti, N Sonnenschein, E Rama, M Cavaletti, P Magni, ... Microbial cell factories 18, 1-20, 2019 | 83 | 2019 |
| Minimal model SI=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals G Pillonetto, G Sparacino, P Magni, R Bellazzi, C Cobelli American Journal of Physiology-Endocrinology and Metabolism 282 (3), E564-E573, 2002 | 74 | 2002 |
| TimeClust: a clustering tool for gene expression time series P Magni, F Ferrazzi, L Sacchi, R Bellazzi Bioinformatics 24 (3), 430-432, 2008 | 65 | 2008 |
| A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring P Magni, R Bellazzi IEEE Transactions on biomedical engineering 53 (6), 977-985, 2006 | 62 | 2006 |
| Bayesian function learning using MCMC methods P Magni, R Bellazzi, G De Nicolao IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (12), 1319 …, 1998 | 62 | 1998 |
| Fermentation of lactose to ethanol in cheese whey permeate and concentrated permeate by engineered Escherichia coli L Pasotti, S Zucca, M Casanova, G Micoli, MG Cusella De Angelis, ... BMC biotechnology 17, 1-12, 2017 | 58 | 2017 |
| Half-life measurements of chemical inducers for recombinant gene expression N Politi, L Pasotti, S Zucca, M Casanova, G Micoli, MG Cusella De Angelis, ... Journal of biological engineering 8, 1-10, 2014 | 56 | 2014 |
| Plasma concentrations of the enantiomers of fluoxetine and norfluoxetine: sources of variability and preliminary observations on relations with clinical response G Jannuzzi, G Gatti, P Magni, E Spina, R Pacifici, P Zuccaro, R Torta, ... Therapeutic drug monitoring 24 (5), 616-627, 2002 | 54 | 2002 |
| A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization G Nicora, S Zucca, I Limongelli, R Bellazzi, P Magni Scientific reports 12 (1), 2517, 2022 | 52 | 2022 |
Riccardo BellazziProfessor of Bioengineering and Medical Informatics, University of PaviaVerified email at unipv.it
