Pappalardo F - Search Results

1

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility.

Musuamba FT, Skottheim Rusten I, Lesage R, Russo G, Bursi R, Emili L, Wangorsch G, Manolis E, Karlsson KE, Kulesza A, Courcelles E, Boissel JP, Rousseau CF, Voisin EM, Alessandrello R, Curado N, Dall'ara E, Rodriguez B, Pappalardo F, Geris L. Musuamba FT, et al. Among authors: pappalardo f. CPT Pharmacometrics Syst Pharmacol. 2021 Aug;10(8):804-825. doi: 10.1002/psp4.12669. Epub 2021 Jul 13. CPT Pharmacometrics Syst Pharmacol. 2021. PMID: 34102034 Free PMC article.

2

Agent-based modeling of the immune system: NetLogo, a promising framework.

Chiacchio F, Pennisi M, Russo G, Motta S, Pappalardo F. Chiacchio F, et al. Among authors: pappalardo f. Biomed Res Int. 2014;2014:907171. doi: 10.1155/2014/907171. Epub 2014 Apr 22. Biomed Res Int. 2014. PMID: 24864263 Free PMC article.

3

Modeling biology spanning different scales: an open challenge.

Castiglione F, Pappalardo F, Bianca C, Russo G, Motta S. Castiglione F, et al. Among authors: pappalardo f. Biomed Res Int. 2014;2014:902545. doi: 10.1155/2014/902545. Epub 2014 Jul 17. Biomed Res Int. 2014. PMID: 25143952 Free PMC article. Review.

4

Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations.

Gullo F, van der Garde M, Russo G, Pennisi M, Motta S, Pappalardo F, Watt S. Gullo F, et al. Among authors: pappalardo f. Bioinformatics. 2015 Aug 1;31(15):2514-22. doi: 10.1093/bioinformatics/btv172. Epub 2015 Mar 25. Bioinformatics. 2015. PMID: 25810433

5

Agent based modeling of the effects of potential treatments over the blood-brain barrier in multiple sclerosis.

Pennisi M, Russo G, Motta S, Pappalardo F. Pennisi M, et al. Among authors: pappalardo f. J Immunol Methods. 2015 Dec;427:6-12. doi: 10.1016/j.jim.2015.08.014. Epub 2015 Sep 4. J Immunol Methods. 2015. PMID: 26343337

6

Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.

Pappalardo F, Russo G, Candido S, Pennisi M, Cavalieri S, Motta S, McCubrey JA, Nicoletti F, Libra M. Pappalardo F, et al. PLoS One. 2016 Mar 25;11(3):e0152104. doi: 10.1371/journal.pone.0152104. eCollection 2016. PLoS One. 2016. PMID: 27015094 Free PMC article.

7

Computational modeling in melanoma for novel drug discovery.

Pennisi M, Russo G, Di Salvatore V, Candido S, Libra M, Pappalardo F. Pennisi M, et al. Among authors: pappalardo f. Expert Opin Drug Discov. 2016 Jun;11(6):609-21. doi: 10.1080/17460441.2016.1174688. Epub 2016 Apr 21. Expert Opin Drug Discov. 2016. PMID: 27046143 Review.

8

Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus.

Pennisi M, Russo G, Ravalli S, Pappalardo F. Pennisi M, et al. Among authors: pappalardo f. BMC Bioinformatics. 2017 Dec 28;18(Suppl 16):544. doi: 10.1186/s12859-017-1961-9. BMC Bioinformatics. 2017. PMID: 29297294 Free PMC article.

9

In silico clinical trials: concepts and early adoptions.

Pappalardo F, Russo G, Tshinanu FM, Viceconti M. Pappalardo F, et al. Brief Bioinform. 2019 Sep 27;20(5):1699-1708. doi: 10.1093/bib/bby043. Brief Bioinform. 2019. PMID: 29868882 Review.

10

Credibility of In Silico Trial Technologies-A Theoretical Framing.

Viceconti M, Juarez MA, Curreli C, Pennisi M, Russo G, Pappalardo F. Viceconti M, et al. Among authors: pappalardo f. IEEE J Biomed Health Inform. 2020 Jan;24(1):4-13. doi: 10.1109/JBHI.2019.2949888. Epub 2019 Oct 28. IEEE J Biomed Health Inform. 2020. PMID: 31670687

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

447 results

Search Page

Filters