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 *

129 related articles for article (PubMed ID: 34859664)

  • 1. Direct Prediction of Bioaccumulation of Organic Contaminants in Plant Roots from Soils with Machine Learning Models Based on Molecular Structures.
    Gao F; Shen Y; Sallach JB; Li H; Liu C; Li Y
    Environ Sci Technol; 2021 Dec; 55(24):16358-16368. PubMed ID: 34859664
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting crop root concentration factors of organic contaminants with machine learning models.
    Gao F; Shen Y; Brett Sallach J; Li H; Zhang W; Li Y; Liu C
    J Hazard Mater; 2022 Feb; 424(Pt B):127437. PubMed ID: 34678561
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting pesticide dissipation half-life intervals in plants with machine learning models.
    Shen Y; Zhao E; Zhang W; Baccarelli AA; Gao F
    J Hazard Mater; 2022 Aug; 436():129177. PubMed ID: 35643003
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Contribution of molecular structures and quantum chemistry technique to root concentration factor: An innovative application of interpretable machine learning.
    Zhu T; Zhang Y; Li Y; Tao T; Tao C
    J Hazard Mater; 2023 Oct; 459():132320. PubMed ID: 37604035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints.
    Song C; Gu Q; Zhang D; Zhou D; Cui X
    Sci Total Environ; 2024 Nov; 950():175091. PubMed ID: 39079643
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Examining plant uptake and translocation of emerging contaminants using machine learning: Implications to food security.
    Bagheri M; Al-Jabery K; Wunsch D; Burken JG
    Sci Total Environ; 2020 Jan; 698():133999. PubMed ID: 31499345
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved prediction of the bioconcentration factors of organic contaminants from soils into plant/crop roots by related physicochemical parameters.
    Li Y; Chiou CT; Li H; Schnoor JL
    Environ Int; 2019 May; 126():46-53. PubMed ID: 30776749
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development, Evaluation, and Application of Machine Learning Models for Accurate Prediction of Root Uptake of Per- and Polyfluoroalkyl Substances.
    Xiang L; Qiu J; Chen QQ; Yu PF; Liu BL; Zhao HM; Li YW; Feng NX; Cai QY; Mo CH; Li QX
    Environ Sci Technol; 2023 Nov; 57(46):18317-18328. PubMed ID: 37186812
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning models for predicting plant uptake of emerging contaminants by including the role of plant macromolecular compositions.
    Bagheri M; McKenney S; Ware JG; Farshforoush N
    J Hazard Mater; 2024 Dec; 480():135921. PubMed ID: 39305592
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Plant Uptake and Translocation of Engineered Metallic Nanoparticles by Machine Learning.
    Wang X; Liu L; Zhang W; Ma X
    Environ Sci Technol; 2021 Jun; 55(11):7491-7500. PubMed ID: 33999596
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms.
    Chen D; Chang N; Xiao J; Zhou Q; Wu W
    Sci Total Environ; 2019 Jun; 669():844-855. PubMed ID: 30897441
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Life cycle exposure of plants considerably affects root uptake of PCBs: Role of growth strategies and dissolved/particulate organic carbon variability.
    Terzaghi E; Raspa G; Zanardini E; Morosini C; Anelli S; Armiraglio S; Di Guardo A
    J Hazard Mater; 2022 Jan; 421():126826. PubMed ID: 34396963
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning.
    Hu B; Xue J; Zhou Y; Shao S; Fu Z; Li Y; Chen S; Qi L; Shi Z
    Environ Pollut; 2020 Jul; 262():114308. PubMed ID: 32155557
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Congener-specific uptake and accumulation of bisphenols in edible plants: Binding to prediction of bioaccumulation by attention mechanism multi-layer perceptron machine learning model.
    Yang X; Zhou Q; Wang Q; Wu J; Zhu H; Zhang A; Sun J
    Environ Pollut; 2023 Nov; 337():122552. PubMed ID: 37714399
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mechanistic and data-driven perspectives on plant uptake of organic pollutants.
    Wu C; Liang Y; Jiang S; Shi Z
    Sci Total Environ; 2024 Jun; 929():172415. PubMed ID: 38631647
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Advancing prediction of polycyclic aromatic hydrocarbon bioaccumulation in plants for historically contaminated soils using Lolium multiflorum and simple chemical in-vitro methodologies.
    Esmaeili A; Knox O; Juhasz A; Wilson SC
    Sci Total Environ; 2021 Jun; 772():144783. PubMed ID: 33581513
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Modeling the mechanisms for uptake and translocation of dioxane in a soil-plant ecosystem with STELLA.
    Ouyang Y
    J Contam Hydrol; 2008 Jan; 95(1-2):17-29. PubMed ID: 17870205
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Seasonal and annual variations of metal uptake, bioaccumulation, and toxicity in Trifolium repens and Lolium perenne growing in a heavy metal-contaminated field.
    Bidar G; Pruvot C; Garçon G; Verdin A; Shirali P; Douay F
    Environ Sci Pollut Res Int; 2009 Jan; 16(1):42-53. PubMed ID: 18594892
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Occurrence, distribution and bioaccumulation behaviour of hydrophobic organic contaminants in a large-scale constructed wetland in Singapore.
    Wang Q; Kelly BC
    Chemosphere; 2017 Sep; 183():257-265. PubMed ID: 28550783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning analysis of
    Shuryak I
    J Environ Radioact; 2022 Jan; 241():106772. PubMed ID: 34768117
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.