Nicora G - Search Results

1

Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.

Coticchio G, Fiorentino G, Nicora G, Sciajno R, Cavalera F, Bellazzi R, Garagna S, Borini A, Zuccotti M. Coticchio G, et al. Among authors: nicora g. Reprod Biomed Online. 2021 Mar;42(3):521-528. doi: 10.1016/j.rbmo.2020.12.008. Epub 2020 Dec 24. Reprod Biomed Online. 2021. PMID: 33558172

2

CardioVAI: An automatic implementation of ACMG-AMP variant interpretation guidelines in the diagnosis of cardiovascular diseases.

Nicora G, Limongelli I, Gambelli P, Memmi M, Malovini A, Mazzanti A, Napolitano C, Priori S, Bellazzi R. Nicora G, et al. Hum Mutat. 2018 Dec;39(12):1835-1846. doi: 10.1002/humu.23665. Epub 2018 Oct 19. Hum Mutat. 2018. PMID: 30298955

3

A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data.

Nicora G, Moretti F, Sauta E, Della Porta M, Malcovati L, Cazzola M, Quaglini S, Bellazzi R. Nicora G, et al. J Biomed Inform. 2020 Apr;104:103398. doi: 10.1016/j.jbi.2020.103398. Epub 2020 Feb 26. J Biomed Inform. 2020. PMID: 32113003 Free article.

4

Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.

Nicora G, Vitali F, Dagliati A, Geifman N, Bellazzi R. Nicora G, et al. Front Oncol. 2020 Jun 30;10:1030. doi: 10.3389/fonc.2020.01030. eCollection 2020. Front Oncol. 2020. PMID: 32695678 Free PMC article. Review.

5

A Reliable Machine Learning Approach applied to Single-Cell Classification in Acute Myeloid Leukemia.

Nicora G, Bellazzi R. Nicora G, et al. AMIA Annu Symp Proc. 2021 Jan 25;2020:925-932. eCollection 2020. AMIA Annu Symp Proc. 2021. PMID: 33936468 Free PMC article.

6

Evaluating pointwise reliability of machine learning prediction.

Nicora G, Rios M, Abu-Hanna A, Bellazzi R. Nicora G, et al. J Biomed Inform. 2022 Mar;127:103996. doi: 10.1016/j.jbi.2022.103996. Epub 2022 Jan 15. J Biomed Inform. 2022. PMID: 35041981 Free article. Review.

7

A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization.

Nicora G, Zucca S, Limongelli I, Bellazzi R, Magni P. Nicora G, et al. Sci Rep. 2022 Feb 15;12(1):2517. doi: 10.1038/s41598-022-06547-3. Sci Rep. 2022. PMID: 35169226 Free PMC article.

8

Dynamic Prediction of Non-Neutral SARS-Cov-2 Variants Using Incremental Machine Learning.

Nicora G, Marini S, Salemi M, Bellazzi R. Nicora G, et al. Stud Health Technol Inform. 2022 May 25;294:654-658. doi: 10.3233/SHTI220550. Stud Health Technol Inform. 2022. PMID: 35612170 Free PMC article.

9

Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm.

Nicora G, Salemi M, Marini S, Bellazzi R. Nicora G, et al. BMJ Health Care Inform. 2022 Dec;29(1):e100643. doi: 10.1136/bmjhci-2022-100643. BMJ Health Care Inform. 2022. PMID: 36593658 Free PMC article.

10

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions.

Parimbelli E, Buonocore TM, Nicora G, Michalowski W, Wilk S, Bellazzi R. Parimbelli E, et al. Among authors: nicora g. Artif Intell Med. 2023 Jan;135:102471. doi: 10.1016/j.artmed.2022.102471. Epub 2022 Dec 1. Artif Intell Med. 2023. PMID: 36628785 Free article.

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