دورية أكاديمية
أعرض في EDS

Opportunities for Artificial Intelligence in Advancing Precision Medicine.

التفاصيل البيبلوغرافية
العنوان: Opportunities for Artificial Intelligence in Advancing Precision Medicine.
المؤلفون: Filipp FV; Cancer Systems Biology, Institute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 München, Germany.; School of Life Sciences Weihenstephan, Technical University München, Maximus-von-Imhof-Forum 3, 85354 Freising, Germany.
المصدر: Current genetic medicine reports [Curr Genet Med Rep] 2019 Dec; Vol. 7 (4), pp. 208-213. Date of Electronic Publication: 2019 Dec 01.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer US Country of Publication: United States NLM ID: 101601192 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2167-4876 (Print) Linking ISSN: 21674876 NLM ISO Abbreviation: Curr Genet Med Rep Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [New York, NY] : Springer US, 2013-
مستخلص: Purpose of Review: We critically evaluate the future potential of machine learning (ML), deep learning (DL), and artificial intelligence (AI) in precision medicine. The goal of this work is to show progress in ML in digital health, to exemplify future needs and trends, and to identify any essential prerequisites of AI and ML for precision health.
Recent Findings: High-throughput technologies are delivering growing volumes of biomedical data, such as large-scale genome-wide sequencing assays; libraries of medical images; or drug perturbation screens of healthy, developing, and diseased tissue. Multi-omics data in biomedicine is deep and complex, offering an opportunity for data-driven insights and automated disease classification. Learning from these data will open our understanding and definition of healthy baselines and disease signatures. State-of-the-art applications of deep neural networks include digital image recognition, single-cell clustering, and virtual drug screens, demonstrating breadths and power of ML in biomedicine.
Summary: Significantly, AI and systems biology have embraced big data challenges and may enable novel biotechnology-derived therapies to facilitate the implementation of precision medicine approaches.
Competing Interests: Competing Interests Dr. Filipp declares no conflict of interest.
References: Sci Rep. 2019 Jul 17;9(1):10347. (PMID: 31316102)
Nat Mater. 2019 May;18(5):435-441. (PMID: 31000803)
Nat Rev Drug Discov. 2019 Jun;18(6):463-477. (PMID: 30976107)
Science. 2019 Sep 27;365(6460):1409-1413. (PMID: 31604268)
Nat Mater. 2019 May;18(5):422-427. (PMID: 30478452)
Clin Epigenetics. 2019 Aug 23;11(1):123. (PMID: 31443682)
Nat Methods. 2019 Aug;16(8):715-721. (PMID: 31363220)
Nat Methods. 2019 Oct;16(10):945-951. (PMID: 31562479)
Genome Biol. 2019 Mar 19;20(1):59. (PMID: 30890159)
BMC Genomics. 2019 Mar 4;20(1):167. (PMID: 30832569)
Nat Commun. 2017 Sep 6;8(1):463. (PMID: 28878212)
Nature. 2019 Jul;571(7763):95-98. (PMID: 31270483)
Nat Commun. 2019 Jul 10;10(1):3045. (PMID: 31292438)
Nat Rev Genet. 2018 Jun;19(6):371-384. (PMID: 29643443)
Nature. 2015 Feb 26;518(7540):486-7. (PMID: 25719660)
Nature. 2015 May 28;521(7553):436-44. (PMID: 26017442)
Nature. 2019 Aug;572(7767):27-29. (PMID: 31363197)
Nat Genet. 2018 Oct;50(10):1399-1411. (PMID: 30262818)
Database (Oxford). 2019 Jan 1;2019:. (PMID: 33326193)
Nature. 2017 Feb 2;542(7639):115-118. (PMID: 28117445)
Drug Discov Today. 2018 Aug;23(8):1538-1546. (PMID: 29750902)
NPJ Digit Med. 2019 Aug 19;2:78. (PMID: 31453373)
NPJ Digit Med. 2019 Sep 6;2:88. (PMID: 31508498)
Nat Commun. 2019 Aug 21;10(1):3770. (PMID: 31434893)
Sci Rep. 2019 Mar 4;9(1):3358. (PMID: 30833650)
Genome Biol. 2018 Feb 6;19(1):15. (PMID: 29409532)
Cell. 2019 Jun 27;178(1):229-241.e16. (PMID: 31230717)
Science. 2019 Apr 5;364(6435):89-93. (PMID: 30948552)
Nature. 2016 Jan 28;529(7587):484-9. (PMID: 26819042)
Nat Rev Clin Oncol. 2019 Nov;16(11):703-715. (PMID: 31399699)
Nat Rev Drug Discov. 2012 Mar 01;11(3):191-200. (PMID: 22378269)
Sci Data. 2017 Feb 14;4:170005. (PMID: 28195576)
Nature. 2018 Mar 28;555(7698):604-610. (PMID: 29595767)
J Steroid Biochem Mol Biol. 2019 Jan;185:103-109. (PMID: 30044963)
Mod Pathol. 2019 Jul;32(7):916-928. (PMID: 30778169)
Nat Rev Drug Discov. 2020 Jan;19(1):17-18. (PMID: 31907419)
Cell Chem Biol. 2018 May 17;25(5):611-618.e3. (PMID: 29503208)
Sci Rep. 2019 May 15;9(1):7449. (PMID: 31092853)
Nat Methods. 2019 Sep;16(9):843-852. (PMID: 31471613)
Nat Biotechnol. 2019 Aug;37(8):848-850. (PMID: 31324891)
NPJ Syst Biol Appl. 2018 Jul 1;4:24. (PMID: 29977600)
Nature. 2019 Apr;568(7751):235-239. (PMID: 30911168)
Nat Biotechnol. 2019 Dec;37(12):1452-1457. (PMID: 31611697)
Nat Commun. 2015 Jun 09;6:7101. (PMID: 26055627)
Nature. 2015 Feb 26;518(7540):529-33. (PMID: 25719670)
NPJ Digit Med. 2018 May 8;1:18. (PMID: 31304302)
Cancer Metastasis Rev. 2017 Mar;36(1):91-108. (PMID: 28265786)
Drug Discov Today. 2018 Jun;23(6):1241-1250. (PMID: 29366762)
Nature. 2017 Oct 18;550(7677):451-453. (PMID: 29072289)
Nat Biotechnol. 2014 Dec;32(12):1202-12. (PMID: 24880487)
Nat Commun. 2019 Jul 1;10(1):2903. (PMID: 31263102)
BMC Syst Biol. 2018 Apr 4;12(1):33. (PMID: 29615030)
معلومات مُعتمدة: K99 CA154887 United States CA NCI NIH HHS; R00 CA154887 United States CA NCI NIH HHS; R25 GM115293 United States GM NIGMS NIH HHS
فهرسة مساهمة: Keywords: AI; DL; DNN; Deep learning; Digital health; Digital pathology; ML; Machine learning; Multi-omics; Precision medicine; Single-cell transcriptomics; Spatial transcriptomics; Systems biology
تواريخ الأحداث: Date Created: 20191225 Latest Revision: 20231027
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6927552
DOI: 10.1007/s40142-019-00177-4
PMID: 31871830
قاعدة البيانات: MEDLINE
الوصف
تدمد:2167-4876
DOI:10.1007/s40142-019-00177-4