BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 33736193)

  • 1. Tackling environmental challenges in pollution controls using artificial intelligence: A review.
    Ye Z; Yang J; Zhong N; Tu X; Jia J; Wang J
    Sci Total Environ; 2020 Jan; 699():134279. PubMed ID: 33736193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A review on experimental design for pollutants removal in water treatment with the aid of artificial intelligence.
    Fan M; Hu J; Cao R; Ruan W; Wei X
    Chemosphere; 2018 Jun; 200():330-343. PubMed ID: 29494914
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends.
    Zhang S; Jin Y; Chen W; Wang J; Wang Y; Ren H
    Chemosphere; 2023 Sep; 336():139163. PubMed ID: 37290518
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.
    Hesami M; Jones AMP
    Appl Microbiol Biotechnol; 2020 Nov; 104(22):9449-9485. PubMed ID: 32984921
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence applications in solid waste management: A systematic research review.
    Abdallah M; Abu Talib M; Feroz S; Nasir Q; Abdalla H; Mahfood B
    Waste Manag; 2020 May; 109():231-246. PubMed ID: 32428727
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review.
    Niu C; Li X; Dai R; Wang Z
    Water Res; 2022 Jun; 216():118299. PubMed ID: 35325824
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Recent developments of artificial intelligence in drying of fresh food: A review.
    Sun Q; Zhang M; Mujumdar AS
    Crit Rev Food Sci Nutr; 2019; 59(14):2258-2275. PubMed ID: 29493285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial neural network modeling in environmental radioactivity studies - A review.
    Dragović S
    Sci Total Environ; 2022 Nov; 847():157526. PubMed ID: 35872202
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Recent advances in applications of artificial intelligence in solid waste management: A review.
    Ihsanullah I; Alam G; Jamal A; Shaik F
    Chemosphere; 2022 Dec; 309(Pt 1):136631. PubMed ID: 36183887
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning.
    Wang J; Xu W; Dong J; Zhang Y
    Stoch Environ Res Risk Assess; 2022; 36(10):3417-3437. PubMed ID: 35369125
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer.
    Babanezhad M; Behroyan I; Nakhjiri AT; Marjani A; Heydarinasab A; Shirazian S
    Sci Rep; 2020 Dec; 10(1):21884. PubMed ID: 33318542
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges.
    Vyas S; Dhakar K; Varjani S; Singhania RR; Bhargava PC; Sindhu R; Binod P; Wong JWC; Bui XT
    Sci Total Environ; 2023 Sep; 891():164344. PubMed ID: 37244611
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.
    Abunama T; Othman F; Ansari M; El-Shafie A
    Environ Sci Pollut Res Int; 2019 Feb; 26(4):3368-3381. PubMed ID: 30511225
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.
    Dande P; Samant P
    Tuberculosis (Edinb); 2018 Jan; 108():1-9. PubMed ID: 29523307
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Upflow anaerobic sludge blanket reactor--a review.
    Bal AS; Dhagat NN
    Indian J Environ Health; 2001 Apr; 43(2):1-82. PubMed ID: 12397675
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine.
    Sniecinski I; Seghatchian J
    Transfus Apher Sci; 2018 Jun; 57(3):422-424. PubMed ID: 29784537
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving one-dimensional pollution dispersion modeling in rivers using ANFIS and ANN-based GA optimized models.
    Seifi A; Riahi-Madvar H
    Environ Sci Pollut Res Int; 2019 Jan; 26(1):867-885. PubMed ID: 30415370
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence techniques in electrochemical processes for water and wastewater treatment: a review.
    Shirkoohi MG; Tyagi RD; Vanrolleghem PA; Drogui P
    J Environ Health Sci Eng; 2022 Dec; 20(2):1089-1109. PubMed ID: 36406623
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A review on the integration of artificial intelligence into coastal modeling.
    Chau K
    J Environ Manage; 2006 Jul; 80(1):47-57. PubMed ID: 16337078
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research and application of a hybrid model based on dynamic fuzzy synthetic evaluation for establishing air quality forecasting and early warning system: A case study in China.
    Xu Y; Du P; Wang J
    Environ Pollut; 2017 Apr; 223():435-448. PubMed ID: 28126387
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.