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Paolo Magni
Paolo Magni
Professor of Bioengineering, Università degli Studi di Pavia
Bestätigte E-Mail-Adresse bei unipv.it - Startseite
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Zitiert von
Jahr
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
6182004
Modelling methodology for physiology and medicine
E Carson, C Cobelli
Newnes, 2013
3932013
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
2552015
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
2112014
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
1502005
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
1212016
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
1122006
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
1042000
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
882003
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
862006
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
862000
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
832019
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
752002
TimeClust: a clustering tool for gene expression time series
P Magni, F Ferrazzi, L Sacchi, R Bellazzi
Bioinformatics 24 (3), 430-432, 2008
652008
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
641998
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
622017
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
622006
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
592014
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
562022
Modeling of human tumor xenografts and dose rationale in oncology
M Simeoni, G De Nicolao, P Magni, M Rocchetti, I Poggesi
Drug Discovery Today: Technologies 10 (3), e365-e372, 2013
552013
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