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Items: 1 to 20 of 69

1.

Transforming Computational Drug Discovery with Machine Learning and AI.

Smith JS, Roitberg AE, Isayev O.

ACS Med Chem Lett. 2018 Oct 8;9(11):1065-1069. doi: 10.1021/acsmedchemlett.8b00437. eCollection 2018 Nov 8.

PMID:
30429945
2.

Survey of Machine Learning Techniques in Drug Discovery.

Stephenson N, Shane E, Chase J, Rowland J, Ries D, Justice N, Zhang J, Chan L, Cao R.

Curr Drug Metab. 2018 Aug 19. doi: 10.2174/1389200219666180820112457. [Epub ahead of print]

PMID:
30124147
3.

From machine learning to deep learning: progress in machine intelligence for rational drug discovery.

Zhang L, Tan J, Han D, Zhu H.

Drug Discov Today. 2017 Nov;22(11):1680-1685. doi: 10.1016/j.drudis.2017.08.010. Epub 2017 Sep 4. Review.

PMID:
28881183
4.

Artificial intelligence approaches for rational drug design and discovery.

Duch W, Swaminathan K, Meller J.

Curr Pharm Des. 2007;13(14):1497-508. Review.

PMID:
17504169
5.

A primer in artificial intelligence in cardiovascular medicine.

Benjamins JW, Hendriks T, Knuuti J, Juarez-Orozco LE, van der Harst P.

Neth Heart J. 2019 May 20. doi: 10.1007/s12471-019-1286-6. [Epub ahead of print] Review.

PMID:
31111458
6.

Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era.

Jing Y, Bian Y, Hu Z, Wang L, Xie XQ.

AAPS J. 2018 Mar 30;20(3):58. doi: 10.1208/s12248-018-0210-0. Review. Erratum in: AAPS J. 2018 Jun 25;20(4):79. Xie XS [corrected to Xie XQ].

PMID:
29603063
7.

Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine.

Sniecinski I, Seghatchian J.

Transfus Apher Sci. 2018 Jun;57(3):422-424. doi: 10.1016/j.transci.2018.05.004. Epub 2018 May 9. Review.

PMID:
29784537
8.

Artificial intelligence in healthcare: past, present and future.

Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y.

Stroke Vasc Neurol. 2017 Jun 21;2(4):230-243. doi: 10.1136/svn-2017-000101. eCollection 2017 Dec. Review.

9.

In Defence of Machine Learning: Debunking the Myths of Artificial Intelligence.

de Saint Laurent C.

Eur J Psychol. 2018 Nov 30;14(4):734-747. doi: 10.5964/ejop.v14i4.1823. eCollection 2018 Nov.

10.

Artificial intelligence in healthcare.

Yu KH, Beam AL, Kohane IS.

Nat Biomed Eng. 2018 Oct;2(10):719-731. doi: 10.1038/s41551-018-0305-z. Epub 2018 Oct 10. Review.

PMID:
31015651
11.

Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium.

Benjamins JW, van Leeuwen K, Hofstra L, Rienstra M, Appelman Y, Nijhof W, Verlaat B, Everts I, den Ruijter HM, Isgum I, Leiner T, Vliegenthart R, Asselbergs FW, Juarez-Orozco LE, van der Harst P.

Neth Heart J. 2019 May 20. doi: 10.1007/s12471-019-1281-y. [Epub ahead of print]

PMID:
31111459
12.

Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

Wahl B, Cossy-Gantner A, Germann S, Schwalbe NR.

BMJ Glob Health. 2018 Aug 29;3(4):e000798. doi: 10.1136/bmjgh-2018-000798. eCollection 2018. Review.

13.

Artificial intelligence. Fears of an AI pioneer.

Russell S, Bohannon J.

Science. 2015 Jul 17;349(6245):252. doi: 10.1126/science.349.6245.252.

PMID:
26185241
14.

Artificial Intelligence Approaches in Hematopoietic Cell Transplantation: A Review of the Current Status and Future Directions

Muhsen IN, ElHassan T, Hashmi SK.

Turk J Haematol. 2018 Aug 3;35(3):152-157. doi: 10.4274/tjh.2018.0123. Epub 2018 Jun 8. Review.

15.

Computational Foundations of Natural Intelligence.

van Gerven M.

Front Comput Neurosci. 2017 Dec 7;11:112. doi: 10.3389/fncom.2017.00112. eCollection 2017. Review.

16.

Artificial intelligence for aging and longevity research: Recent advances and perspectives.

Zhavoronkov A, Mamoshina P, Vanhaelen Q, Scheibye-Knudsen M, Moskalev A, Aliper A.

Ageing Res Rev. 2019 Jan;49:49-66. doi: 10.1016/j.arr.2018.11.003. Epub 2018 Nov 22. Review.

17.

An artificial intelligence atomic force microscope enabled by machine learning.

Huang B, Li Z, Li J.

Nanoscale. 2018 Dec 7;10(45):21320-21326. doi: 10.1039/c8nr06734a. Epub 2018 Nov 13.

PMID:
30422134
18.

Artificial intelligence in gastrointestinal endoscopy: The future is almost here.

Alagappan M, Brown JRG, Mori Y, Berzin TM.

World J Gastrointest Endosc. 2018 Oct 16;10(10):239-249. doi: 10.4253/wjge.v10.i10.239. Review.

19.

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.

Rifaioglu AS, Atas H, Martin MJ, Cetin-Atalay R, Atalay V, Dogan T.

Brief Bioinform. 2018 Jul 31. doi: 10.1093/bib/bby061. [Epub ahead of print]

PMID:
30084866
20.

Artificial intelligence in drug development: present status and future prospects.

Mak KK, Pichika MR.

Drug Discov Today. 2019 Mar;24(3):773-780. doi: 10.1016/j.drudis.2018.11.014. Epub 2018 Nov 22. Review.

PMID:
30472429

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