These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 37998806)

  • 1. Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance.
    Coxe T; Azad RK
    Antibiotics (Basel); 2023 Nov; 12(11):. PubMed ID: 37998806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control.
    Hanna JJ; Medford RJ
    Curr Opin Infect Dis; 2024 Aug; 37(4):290-295. PubMed ID: 38820069
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using Machine Learning to Predict Antimicrobial Resistance-A Literature Review.
    Sakagianni A; Koufopoulou C; Feretzakis G; Kalles D; Verykios VS; Myrianthefs P; Fildisis G
    Antibiotics (Basel); 2023 Feb; 12(3):. PubMed ID: 36978319
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning: novel bioinformatics approaches for combating antimicrobial resistance.
    Macesic N; Polubriaginof F; Tatonetti NP
    Curr Opin Infect Dis; 2017 Dec; 30(6):511-517. PubMed ID: 28914640
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Uncovering the secrets of resistance: An introduction to computational methods in infectious disease research.
    Padhi AK; Maurya S
    Adv Protein Chem Struct Biol; 2024; 139():173-220. PubMed ID: 38448135
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning applications in stroke medicine: advancements, challenges, and future prospectives.
    Daidone M; Ferrantelli S; Tuttolomondo A
    Neural Regen Res; 2024 Apr; 19(4):769-773. PubMed ID: 37843210
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The Use of Antibiotics and Antimicrobial Resistance in Veterinary Medicine, a Complex Phenomenon: A Narrative Review.
    Caneschi A; Bardhi A; Barbarossa A; Zaghini A
    Antibiotics (Basel); 2023 Mar; 12(3):. PubMed ID: 36978354
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains.
    Do DT; Yang MR; Vo TNS; Le NQK; Wu YW
    Comput Struct Biotechnol J; 2024 Dec; 23():1864-1876. PubMed ID: 38707536
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers.
    Yang MR; Wu YW
    Comput Struct Biotechnol J; 2023; 21():769-779. PubMed ID: 36698972
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms.
    Pearcy N; Hu Y; Baker M; Maciel-Guerra A; Xue N; Wang W; Kaler J; Peng Z; Li F; Dottorini T
    mSystems; 2021 Aug; 6(4):e0091320. PubMed ID: 34342537
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges.
    Nguyen AQ; Vu HP; Nguyen LN; Wang Q; Djordjevic SP; Donner E; Yin H; Nghiem LD
    Sci Total Environ; 2021 Aug; 783():146964. PubMed ID: 33866168
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rapid Methods for Antimicrobial Resistance Diagnostics.
    Kaprou GD; Bergšpica I; Alexa EA; Alvarez-Ordóñez A; Prieto M
    Antibiotics (Basel); 2021 Feb; 10(2):. PubMed ID: 33672677
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Applying Machine Learning for Antibiotic Development and Prediction of Microbial Resistance.
    Panjla A; Joshi S; Singh G; Bamford SE; Mechler A; Verma S
    Chem Asian J; 2024 Jul; ():e202400102. PubMed ID: 38948939
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.
    Sunuwar J; Azad RK
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34015806
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combating the menace of antimicrobial resistance in Africa: a review on stewardship, surveillance and diagnostic strategies.
    Gulumbe BH; Haruna UA; Almazan J; Ibrahim IH; Faggo AA; Bazata AY
    Biol Proced Online; 2022 Nov; 24(1):19. PubMed ID: 36424530
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Global geographic trends in antimicrobial resistance: the role of international travel.
    Frost I; Van Boeckel TP; Pires J; Craig J; Laxminarayan R
    J Travel Med; 2019 Dec; 26(8):. PubMed ID: 31115466
    [TBL] [Abstract][Full Text] [Related]  

  • 19. VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.
    Kim J; Greenberg DE; Pifer R; Jiang S; Xiao G; Shelburne SA; Koh A; Xie Y; Zhan X
    PLoS Comput Biol; 2020 Jan; 16(1):e1007511. PubMed ID: 31929521
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting Antimicrobial Resistance Using Partial Genome Alignments.
    Aytan-Aktug D; Nguyen M; Clausen PTLC; Stevens RL; Aarestrup FM; Lund O; Davis JJ
    mSystems; 2021 Jun; 6(3):e0018521. PubMed ID: 34128695
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.