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 *

141 related articles for article (PubMed ID: 35481746)

  • 1. Materials Data toward Machine Learning: Advances and Challenges.
    Zhu L; Zhou J; Sun Z
    J Phys Chem Lett; 2022 May; 13(18):3965-3977. PubMed ID: 35481746
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data-Driven Materials Science: Status, Challenges, and Perspectives.
    Himanen L; Geurts A; Foster AS; Rinke P
    Adv Sci (Weinh); 2019 Nov; 6(21):1900808. PubMed ID: 31728276
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine Learning for the Discovery, Design, and Engineering of Materials.
    Duan C; Nandy A; Kulik HJ
    Annu Rev Chem Biomol Eng; 2022 Jun; 13():405-429. PubMed ID: 35320698
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence for Autonomous Molecular Design: A Perspective.
    Joshi RP; Kumar N
    Molecules; 2021 Nov; 26(22):. PubMed ID: 34833853
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine Learning-Driven Biomaterials Evolution.
    Suwardi A; Wang F; Xue K; Han MY; Teo P; Wang P; Wang S; Liu Y; Ye E; Li Z; Loh XJ
    Adv Mater; 2022 Jan; 34(1):e2102703. PubMed ID: 34617632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Phase-Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries.
    Velasco L; Castillo JS; Kante MV; Olaya JJ; Friederich P; Hahn H
    Adv Mater; 2021 Oct; 33(43):e2102301. PubMed ID: 34514669
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration.
    Hong S; Liow CH; Yuk JM; Byon HR; Yang Y; Cho E; Yeom J; Park G; Kang H; Kim S; Shim Y; Na M; Jeong C; Hwang G; Kim H; Kim H; Eom S; Cho S; Jun H; Lee Y; Baucour A; Bang K; Kim M; Yun S; Ryu J; Han Y; Jetybayeva A; Choi PP; Agar JC; Kalinin SV; Voorhees PW; Littlewood P; Lee HM
    ACS Nano; 2021 Mar; 15(3):3971-3995. PubMed ID: 33577296
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Design-to-Device Pipeline for Data-Driven Materials Discovery.
    Cole JM
    Acc Chem Res; 2020 Mar; 53(3):599-610. PubMed ID: 32096410
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting biochemical and physiological effects of natural products from molecular structures using machine learning.
    Jeon J; Kang S; Kim HU
    Nat Prod Rep; 2021 Nov; 38(11):1954-1966. PubMed ID: 34047331
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies.
    Akbar R; Bashour H; Rawat P; Robert PA; Smorodina E; Cotet TS; Flem-Karlsen K; Frank R; Mehta BB; Vu MH; Zengin T; Gutierrez-Marcos J; Lund-Johansen F; Andersen JT; Greiff V
    MAbs; 2022; 14(1):2008790. PubMed ID: 35293269
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning Methods in Drug Discovery.
    Patel L; Shukla T; Huang X; Ussery DW; Wang S
    Molecules; 2020 Nov; 25(22):. PubMed ID: 33198233
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning.
    Nandy A; Duan C; Taylor MG; Liu F; Steeves AH; Kulik HJ
    Chem Rev; 2021 Aug; 121(16):9927-10000. PubMed ID: 34260198
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. [Progress and prospect of machine learning in research of acupuncture and moxibustion].
    Yin T; He ZX; Sun RR; Li ZJ; Yu SY; Lan L; Hou J; Zeng F
    Zhongguo Zhen Jiu; 2020 Dec; 40(12):1383-6. PubMed ID: 33415886
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence and Machine Learning in Computational Nanotoxicology: Unlocking and Empowering Nanomedicine.
    Singh AV; Ansari MHD; Rosenkranz D; Maharjan RS; Kriegel FL; Gandhi K; Kanase A; Singh R; Laux P; Luch A
    Adv Healthc Mater; 2020 Sep; 9(17):e1901862. PubMed ID: 32627972
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Understanding, discovery, and synthesis of 2D materials enabled by machine learning.
    Ryu B; Wang L; Pu H; Chan MKY; Chen J
    Chem Soc Rev; 2022 Mar; 51(6):1899-1925. PubMed ID: 35246673
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning and Natural Language Processing in Mental Health: Systematic Review.
    Le Glaz A; Haralambous Y; Kim-Dufor DH; Lenca P; Billot R; Ryan TC; Marsh J; DeVylder J; Walter M; Berrouiguet S; Lemey C
    J Med Internet Res; 2021 May; 23(5):e15708. PubMed ID: 33944788
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning and big data provide crucial insight for future biomaterials discovery and research.
    Kerner J; Dogan A; von Recum H
    Acta Biomater; 2021 Aug; 130():54-65. PubMed ID: 34087445
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A systematic review of data mining and machine learning for air pollution epidemiology.
    Bellinger C; Mohomed Jabbar MS; Zaïane O; Osornio-Vargas A
    BMC Public Health; 2017 Nov; 17(1):907. PubMed ID: 29179711
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation.
    Altintas C; Altundal OF; Keskin S; Yildirim R
    J Chem Inf Model; 2021 May; 61(5):2131-2146. PubMed ID: 33914526
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.