Grassi F - Search Results

1

A mechanistic, stochastic model helps understand multiple sclerosis course and pathogenesis.

Bordi I, Umeton R, Ricigliano VA, Annibali V, Mechelli R, Ristori G, Grassi F, Salvetti M, Sutera A. Bordi I, et al. Among authors: grassi f. Int J Genomics. 2013;2013:910321. doi: 10.1155/2013/910321. Epub 2013 Mar 12. Int J Genomics. 2013. PMID: 23671846 Free PMC article.

2

Contribution of genome-wide association studies to scientific research: a pragmatic approach to evaluate their impact.

Ricigliano VA, Umeton R, Germinario L, Alma E, Briani M, Di Segni N, Montesanti D, Pierelli G, Cancrini F, Lomonaco C, Grassi F, Palmieri G, Salvetti M. Ricigliano VA, et al. Among authors: grassi f. PLoS One. 2013 Aug 14;8(8):e71198. doi: 10.1371/journal.pone.0071198. eCollection 2013. PLoS One. 2013. PMID: 23967165 Free PMC article.

3

Noise in multiple sclerosis: unwanted and necessary.

Bordi I, Ricigliano VA, Umeton R, Ristori G, Grassi F, Crisanti A, Sutera A, Salvetti M. Bordi I, et al. Among authors: grassi f. Ann Clin Transl Neurol. 2014 Jul;1(7):502-11. doi: 10.1002/acn3.72. Epub 2014 Jun 19. Ann Clin Transl Neurol. 2014. PMID: 25356421 Free PMC article.

4

Noise Enhances Action Potential Generation in Mouse Sensory Neurons via Stochastic Resonance.

Onorato I, D'Alessandro G, Di Castro MA, Renzi M, Dobrowolny G, Musarò A, Salvetti M, Limatola C, Crisanti A, Grassi F. Onorato I, et al. Among authors: grassi f. PLoS One. 2016 Aug 15;11(8):e0160950. doi: 10.1371/journal.pone.0160950. eCollection 2016. PLoS One. 2016. PMID: 27525414 Free PMC article.

5

Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study.

Tacchella A, Romano S, Ferraldeschi M, Salvetti M, Zaccaria A, Crisanti A, Grassi F. Tacchella A, et al. Among authors: grassi f. F1000Res. 2017 Dec 22;6:2172. doi: 10.12688/f1000research.13114.2. eCollection 2017. F1000Res. 2017. PMID: 29904574 Free PMC article.

6

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.

Seccia R, Gammelli D, Dominici F, Romano S, Landi AC, Salvetti M, Tacchella A, Zaccaria A, Crisanti A, Grassi F, Palagi L. Seccia R, et al. Among authors: grassi f. PLoS One. 2020 Mar 20;15(3):e0230219. doi: 10.1371/journal.pone.0230219. eCollection 2020. PLoS One. 2020. PMID: 32196512 Free PMC article.

7

Machine Learning Use for Prognostic Purposes in Multiple Sclerosis.

Seccia R, Romano S, Salvetti M, Crisanti A, Palagi L, Grassi F. Seccia R, et al. Among authors: grassi f. Life (Basel). 2021 Feb 5;11(2):122. doi: 10.3390/life11020122. Life (Basel). 2021. PMID: 33562572 Free PMC article. Review.

8

A single-agent extension of the SIR model describes the impact of mobility restrictions on the COVID-19 epidemic.

Paoluzzi M, Gnan N, Grassi F, Salvetti M, Vanacore N, Crisanti A. Paoluzzi M, et al. Among authors: grassi f. Sci Rep. 2021 Dec 28;11(1):24467. doi: 10.1038/s41598-021-03721-x. Sci Rep. 2021. PMID: 34963680 Free PMC article.

9

Partial block by riluzole of muscle sodium channels in myotubes from amyotrophic lateral sclerosis patients.

Deflorio C, Onesti E, Lauro C, Tartaglia G, Giovannelli A, Limatola C, Inghilleri M, Grassi F. Deflorio C, et al. Among authors: grassi f. Neurol Res Int. 2014;2014:946073. doi: 10.1155/2014/946073. Epub 2014 Dec 8. Neurol Res Int. 2014. PMID: 25548669 Free PMC article.

10

Mutant human β4 subunit identified in amyotrophic lateral sclerosis patients impairs nicotinic receptor function.

Moriconi C, Di Angelantonio S, Piccioni A, Trettel F, Sabatelli M, Grassi F. Moriconi C, et al. Among authors: grassi f. Pflugers Arch. 2011 Feb;461(2):225-33. doi: 10.1007/s00424-010-0905-2. Epub 2010 Nov 25. Pflugers Arch. 2011. PMID: 21107856

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