BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 36828824)

  • 1. Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy.
    Liu B; Liu K; Qi X; Zhang W; Li B
    Sci Rep; 2023 Feb; 13(1):3240. PubMed ID: 36828824
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria.
    Liu B; Liu K; Wang N; Ta K; Liang P; Yin H; Li B
    Talanta; 2022 Jul; 244():123383. PubMed ID: 35349842
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of pathogenic bacteria by Raman spectroscopy combined with variational auto-encoder and deep learning.
    Liu B; Liu K; Sun J; Shang L; Yang Q; Chen X; Li B
    J Biophotonics; 2023 Apr; 16(4):e202200270. PubMed ID: 36519533
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of an Easy-to-Operate Underwater Raman System for Deep-Sea Cold Seep and Hydrothermal Vent In Situ Detection.
    Liu Q; Guo J; Ye W; Cheng K; Qi F; Zheng R; Sun Z; Zhang X
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372326
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.
    Qiu X; Wu X; Fang X; Fu Q; Wang P; Wang X; Li S; Li Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2023 Feb; 286():122029. PubMed ID: 36323090
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate identification of living Bacillus spores using laser tweezers Raman spectroscopy and deep learning.
    Du F; He L; Lu X; Li YQ; Yuan Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2023 Mar; 289():122216. PubMed ID: 36527970
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Rapid and accurate identification of pathogenic bacteria at the single-cell level using laser tweezers Raman spectroscopy and deep learning.
    Zhou B; Sun L; Fang T; Li H; Zhang R; Ye A
    J Biophotonics; 2022 Jul; 15(7):e202100312. PubMed ID: 35150463
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning-based Raman spectroscopy qualitative analysis algorithm: A convolutional neural network and transformer approach.
    Wang Z; Li Y; Zhai J; Yang S; Sun B; Liang P
    Talanta; 2024 Aug; 275():126138. PubMed ID: 38677164
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Rapid and accurate identification of marine bacteria spores at a single-cell resolution by laser tweezers Raman spectroscopy and deep learning.
    Hu J; He L; Wang G; Liu L; Wang Y; Song J; Qu J; Peng X; Yuan Y
    J Biophotonics; 2024 May; 17(5):e202300510. PubMed ID: 38302112
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep metric learning framework combined with Gramian angular difference field image generation for Raman spectra classification based on a handheld Raman spectrometer.
    Cai Y; Yao Z; Cheng X; He Y; Li S; Pan J
    Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123085. PubMed ID: 37454497
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms.
    Wang L; Tang JW; Li F; Usman M; Wu CY; Liu QH; Kang HQ; Liu W; Gu B
    Microbiol Spectr; 2022 Dec; 10(6):e0258022. PubMed ID: 36314973
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combination of an Artificial Intelligence Approach and Laser Tweezers Raman Spectroscopy for Microbial Identification.
    Lu W; Chen X; Wang L; Li H; Fu YV
    Anal Chem; 2020 May; 92(9):6288-6296. PubMed ID: 32281780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Destruction-free procedure for the isolation of bacteria from sputum samples for Raman spectroscopic analysis.
    Kloß S; Lorenz B; Dees S; Labugger I; Rösch P; Popp J
    Anal Bioanal Chem; 2015 Nov; 407(27):8333-41. PubMed ID: 26041453
    [TBL] [Abstract][Full Text] [Related]  

  • 14. H-CNN combined with tissue Raman spectroscopy for cervical cancer detection.
    Kang Z; Li Y; Liu J; Chen C; Wu W; Chen C; Lv X; Liang F
    Spectrochim Acta A Mol Biomol Spectrosc; 2023 Apr; 291():122339. PubMed ID: 36641920
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.
    Fu Q; Zhang Y; Wang P; Pi J; Qiu X; Guo Z; Huang Y; Zhao Y; Li S; Xu J
    Anal Bioanal Chem; 2021 Dec; 413(30):7401-7410. PubMed ID: 34673992
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level.
    Wang Y; Peng H; Liu K; Shang L; Xu L; Lu Z; Li B
    Talanta; 2023 Mar; 254():124112. PubMed ID: 36463804
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.
    Thomsen BL; Christensen JB; Rodenko O; Usenov I; Grønnemose RB; Andersen TE; Lassen M
    Sci Rep; 2022 Sep; 12(1):16436. PubMed ID: 36180775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Culture-Independent Raman Spectroscopic Identification of Bacterial Pathogens from Clinical Samples Using Deep Transfer Learning.
    Singh S; Kumbhar D; Reghu D; Venugopal SJ; Rekha PT; Mohandas S; Rao S; Rangaiah A; Chunchanur SK; Saini DK; Umapathy S
    Anal Chem; 2022 Oct; 94(42):14745-14754. PubMed ID: 36214808
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning method for multi-task intelligent detection of oral cancer based on optical fiber Raman spectroscopy.
    Li L; Yu M; Li X; Ma X; Zhu L; Zhang T
    Anal Methods; 2024 Mar; 16(11):1659-1673. PubMed ID: 38419435
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning-Assisted Surface-Enhanced Raman Scattering for Rapid Bacterial Identification.
    Tseng YM; Chen KL; Chao PH; Han YY; Huang NT
    ACS Appl Mater Interfaces; 2023 Jun; 15(22):26398-26406. PubMed ID: 37216401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.