Improving the odds: Artificial intelligence and the great plate count anomaly

被引:0
|
作者
Sipkema, Detmer [1 ]
机构
[1] Wageningen Univ, Lab Microbiol, Wageningen, Netherlands
来源
MICROBIAL BIOTECHNOLOGY | 2024年 / 17卷 / 09期
基金
欧盟地平线“2020”;
关键词
D O I
10.1111/1751-7915.70004
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Next-generation DNA sequencing has shown that the great plate count anomaly, that is, the difference between bacteria present in the environment and those that can be obtained in culture from that environment, is even greater and more persisting than initially thought. This hampers fundamental understanding of bacterial physiology and biotechnological application of the unculture majority. With big sequence data as foundation, artificial intelligence (AI) may be a game changer in bacterial isolation efforts and provide directions for the cultivation media and conditions that are most promising and as such be used to canalize limited human and financial resources. This opinion paper discusses how AI is or can be used to improve the success of bacterial isolation. Artificial intelligence can provide new hypotheses to isolate currently uncultivable bacteria beyond individual researcher's imagination. It has applications in (1) identifying growth on plates before the human eye can, (2) taxonomically identifying bacterial colonies and (3) predicting metabolic properties and propose cultivation media and conditions to isolate currently uncultivable bacteria.image
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Artificial intelligence and the judicial memory: the great misunderstandingThe risks and implications of a judicial memory recorded in the correlations of artificial intelligence
    Yannick Meneceur
    Clementina Barbaro
    AI and Ethics, 2022, 2 (2): : 269 - 275
  • [42] Count Enhancement of Perfusion Images in Lung Scintigraphy using Artificial Intelligence
    Ghassel, Siraj
    Jabbarpour, Amir
    Moulton, Eric
    Lang, Jochen
    Klein, Ran
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [43] Artificial intelligence for improving public transport: a mapping study
    Å. Jevinger
    C. Zhao
    J. A. Persson
    P. Davidsson
    Public Transport, 2024, 16 : 99 - 158
  • [44] Aneuploid embryos as a proposal for improving Artificial Intelligence performance
    Guell Penas, E.
    Vives Perello, A.
    Esquerra Pares, M.
    Mladenova Koleva, M.
    HUMAN REPRODUCTION, 2022, 37 : I163 - I163
  • [45] Artificial intelligence for improving public transport: a mapping study
    Jevinger, A.
    Zhao, C.
    Persson, J. A.
    Davidsson, P.
    PUBLIC TRANSPORT, 2024, 16 (01) : 99 - 158
  • [46] Improving radiology workflow using ChatGPT and artificial intelligence
    Mese, Ismail
    Taslicay, Ceylan Altintas
    Sivrioglu, Ali Kemal
    CLINICAL IMAGING, 2023, 103
  • [47] Artificial intelligence in brain surgery: Improving patient outcomes
    Kalawatia, Mihit
    Chaurasia, Bipin
    NEUROSURGICAL REVIEW, 2024, 47 (01)
  • [48] ARTIFICIAL INTELLIGENCE (AI) SOFTWARE IMPROVING TIMES TO THROMBECTOMY
    Sevilis, T.
    Fowler, M.
    Avila, A.
    Heath, G.
    Boyd, C.
    Gao, L.
    Collins, O.
    Ayub, H.
    Devlin, T.
    INTERNATIONAL JOURNAL OF STROKE, 2023, 18 (03) : 40 - 41
  • [49] Use of artificial intelligence for improving quality control of oscillometry
    Veneroni, Chiara
    Acciarito, Andrea
    Pompilio, Pasquale
    Gobbi, Alessandro
    Dellaca, Raffaele
    EUROPEAN RESPIRATORY JOURNAL, 2021, 58
  • [50] Improving a Manufacturing Process using Recursive Artificial Intelligence
    Antonio Marmolejo-Saucedo, Jose
    Rodriguez-Aguilar, Roman
    Romero Perea, Uriel Abel
    Vaqueiro, Manuel Garrido
    Hernandez, Regina Robredo
    Ramirez, Fernando Sanchez
    Martinez, Ana Paula
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT IV, 2021, 633 : 266 - 275