De Nicolao G - Search Results

1

Evaluation of pulse-detection algorithms by computer simulation of hormone secretion.

Guardabasso V, De Nicolao G, Rocchetti M, Rodbard D. Guardabasso V, et al. Among authors: de nicolao g. Am J Physiol. 1988 Dec;255(6 Pt 1):E775-84. doi: 10.1152/ajpendo.1988.255.6.E775. Am J Physiol. 1988. PMID: 3202157

2

The relationship between rate of venous sampling and visible frequency of hormone pulses.

De Nicolao G, Guardabasso V, Rocchetti M. De Nicolao G, et al. Comput Methods Programs Biomed. 1990 Nov;33(3):145-57. doi: 10.1016/0169-2607(90)90036-9. Comput Methods Programs Biomed. 1990. PMID: 2279386

3

CURT: a randomization test for statistical comparison between experimental curves.

Rocchetti M, De Nicolao G. Rocchetti M, et al. Among authors: de nicolao g. Comput Methods Programs Biomed. 1990 Mar-Apr;31(3-4):207-13. doi: 10.1016/0169-2607(90)90005-t. Comput Methods Programs Biomed. 1990. PMID: 2364686

4

Mean plasma hormone concentration is controlled in a linear manner by secretory impulse frequency.

De Nicolao G, Rocchetti M. De Nicolao G, et al. Am J Physiol. 1989 Aug;257(2 Pt 1):E299-300. doi: 10.1152/ajpendo.1989.257.2.E299. Am J Physiol. 1989. PMID: 2764105 No abstract available.

5

Nonparametric AUC estimation in population studies with incomplete sampling: a Bayesian approach.

Magni P, Bellazzi R, De Nicolao G, Poggesi I, Rocchetti M. Magni P, et al. Among authors: de nicolao g. J Pharmacokinet Pharmacodyn. 2002 Dec;29(5-6):445-71. doi: 10.1023/a:1022920403166. J Pharmacokinet Pharmacodyn. 2002. PMID: 12795241

6

Assessing drug effect from distributional data: A population approach with application to Duchenne Muscular Dystrophy treatment.

Lavezzi SM, Rocchetti M, Bettica P, Petrini S, De Nicolao G. Lavezzi SM, et al. Among authors: de nicolao g. Comput Methods Programs Biomed. 2019 Sep;178:329-342. doi: 10.1016/j.cmpb.2019.06.002. Epub 2019 Jun 6. Comput Methods Programs Biomed. 2019. PMID: 31416560 Clinical Trial.

7

A mathematical model to study the effects of drugs administration on tumor growth dynamics.

Magni P, Simeoni M, Poggesi I, Rocchetti M, De Nicolao G. Magni P, et al. Among authors: de nicolao g. Math Biosci. 2006 Apr;200(2):127-51. doi: 10.1016/j.mbs.2005.12.028. Epub 2006 Mar 3. Math Biosci. 2006. PMID: 16516246

8

Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents.

Simeoni M, Magni P, Cammia C, De Nicolao G, Croci V, Pesenti E, Germani M, Poggesi I, Rocchetti M. Simeoni M, et al. Among authors: de nicolao g. Cancer Res. 2004 Feb 1;64(3):1094-101. doi: 10.1158/0008-5472.can-03-2524. Cancer Res. 2004. PMID: 14871843

9

A model-based approach to the in vitro evaluation of anticancer activity.

Del Bene F, Germani M, De Nicolao G, Magni P, Re CE, Ballinari D, Rocchetti M. Del Bene F, et al. Among authors: de nicolao g. Cancer Chemother Pharmacol. 2009 Apr;63(5):827-36. doi: 10.1007/s00280-008-0798-3. Epub 2008 Jul 29. Cancer Chemother Pharmacol. 2009. PMID: 18663447

10

Predicting the active doses in humans from animal studies: a novel approach in oncology.

Rocchetti M, Simeoni M, Pesenti E, De Nicolao G, Poggesi I. Rocchetti M, et al. Among authors: de nicolao g. Eur J Cancer. 2007 Aug;43(12):1862-8. doi: 10.1016/j.ejca.2007.05.011. Epub 2007 Jul 2. Eur J Cancer. 2007. PMID: 17604156

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