Artificial intelligence for precision oncology: beyond patient stratification.
Journal
NPJ precision oncology
ISSN: 2397-768X
Titre abrégé: NPJ Precis Oncol
Pays: England
ID NLM: 101708166
Informations de publication
Date de publication:
2019
2019
Historique:
received:
05
11
2018
accepted:
22
01
2019
entrez:
2
3
2019
pubmed:
2
3
2019
medline:
2
3
2019
Statut:
epublish
Résumé
The data-driven identification of disease states and treatment options is a crucial challenge for precision oncology. Artificial intelligence (AI) offers unique opportunities for enhancing such predictive capabilities in the lab and the clinic. AI, including its best-known branch of research, machine learning, has significant potential to enable precision oncology well beyond relatively well-known pattern recognition applications, such as the supervised classification of single-source omics or imaging datasets. This perspective highlights key advances and challenges in that direction. Furthermore, it argues that AI's scope and depth of research need to be expanded to achieve ground-breaking progress in precision oncology.
Identifiants
pubmed: 30820462
doi: 10.1038/s41698-019-0078-1
pii: 78
pmc: PMC6389974
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
6Déclaration de conflit d'intérêts
The author declares no competing interests.
Références
Nat Med. 2018 Oct;24(10):1559-1567
pubmed: 30224757
Brief Bioinform. 2017 Sep 1;18(5):820-829
pubmed: 27444372
Neural Comput. 2017 Sep;29(9):2352-2449
pubmed: 28599112
Cell. 2018 Apr 5;173(2):371-385.e18
pubmed: 29625053
Bioinformatics. 2018 Jul 15;34(14):2449-2456
pubmed: 29462247
Nature. 2017 Feb 2;542(7639):115-118
pubmed: 28117445
Nat Rev Genet. 2018 May;19(5):299-310
pubmed: 29479082
JAMA. 2017 Dec 12;318(22):2199-2210
pubmed: 29234806
Brief Bioinform. 2019 Mar 25;20(2):572-584
pubmed: 29659698
IEEE Trans Neural Netw Learn Syst. 2018 Jun;29(6):2063-2079
pubmed: 29771663
Artif Intell Med. 2017 Jan;75:51-63
pubmed: 28363456
Nat Med. 2018 Oct;24(10):1611-1624
pubmed: 30150718
Artif Intell Med. 2016 Oct;73:70-77
pubmed: 27926382
Brain Inform. 2016 Sep;3(3):133-143
pubmed: 27747590
Nature. 2015 May 28;521(7553):452-9
pubmed: 26017444
NPJ Precis Oncol. 2017 Aug 8;1(1):25
pubmed: 29872707
Nature. 2016 Oct 05;538(7623):20-23
pubmed: 27708329
Radiology. 2014 Oct;273(1):168-74
pubmed: 24827998
Nature. 2015 May 28;521(7553):436-44
pubmed: 26017442
J Am Med Inform Assoc. 2015 Jan;22(1):109-20
pubmed: 25002459
J R Soc Interface. 2018 Apr;15(141):
pubmed: 29618526
Cell. 2018 Jun 14;173(7):1562-1565
pubmed: 29906441
Artif Intell Med. 2018 Aug;90:1-14
pubmed: 30017512
Nat Biomed Eng. 2018 Oct;2(10):719-731
pubmed: 31015651
Nat Med. 2018 Sep;24(9):1304-1305
pubmed: 30177823
Nat Commun. 2018 Oct 26;9(1):4453
pubmed: 30367051
Artif Intell Med. 2015 Sep;65(1):61-73
pubmed: 26265491
Nat Biomed Eng. 2018 Oct;2(10):749-760
pubmed: 31001455
Brief Bioinform. 2013 May;14(3):315-26
pubmed: 22786785
Nature. 2018 Mar 22;555(7697):446-447
pubmed: 29565394
Cell Syst. 2017 Dec 27;5(6):620-627.e3
pubmed: 29153840
Med Phys. 2017 Dec;44(12):6690-6705
pubmed: 29034482
Math Biosci. 2017 Nov;293:11-20
pubmed: 28822813
Front Oncol. 2018 Apr 16;8:108
pubmed: 29713615
Proc Natl Acad Sci U S A. 2018 Feb 20;115(8):1943-1948
pubmed: 29351989
Science. 2015 Jul 17;349(6245):255-60
pubmed: 26185243
IEEE/ACM Trans Comput Biol Bioinform. 2019 Nov-Dec;16(6):2089-2100
pubmed: 29993662
Brief Bioinform. 2018 Mar 1;19(2):325-340
pubmed: 28011753
Proc Natl Acad Sci U S A. 2018 Mar 27;115(13):E2980-E2987
pubmed: 29507209