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 *

195 related articles for article (PubMed ID: 22881443)

  • 1. Computational fluid dynamics (CFD) assisted performance evaluation of the Twincer™ disposable high-dose dry powder inhaler.
    de Boer AH; Hagedoorn P; Woolhouse R; Wynn E
    J Pharm Pharmacol; 2012 Sep; 64(9):1316-25. PubMed ID: 22881443
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Design and in vitro performance testing of multiple air classifier technology in a new disposable inhaler concept (Twincer) for high powder doses.
    de Boer AH; Hagedoorn P; Westerman EM; Le Brun PP; Heijerman HG; Frijlink HW
    Eur J Pharm Sci; 2006 Jun; 28(3):171-8. PubMed ID: 16650739
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Coupled in silico platform: Computational fluid dynamics (CFD) and physiologically-based pharmacokinetic (PBPK) modelling.
    Vulović A; Šušteršič T; Cvijić S; Ibrić S; Filipović N
    Eur J Pharm Sci; 2018 Feb; 113():171-184. PubMed ID: 29054499
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deposition and fine particle production during dynamic flow in a dry powder inhaler: a CFD approach.
    Milenkovic J; Alexopoulos AH; Kiparissides C
    Int J Pharm; 2014 Jan; 461(1-2):129-36. PubMed ID: 24296048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating inter-patient variability of dispersion in dry powder inhalers using CFD-DEM simulations.
    Benque B; Khinast JG
    Eur J Pharm Sci; 2021 Jan; 156():105574. PubMed ID: 32980431
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Potential and constraints for the application of CFD combined with Lagrangian particle tracking to dry powder inhalers.
    Sommerfeld M; Cui Y; Schmalfuß S
    Eur J Pharm Sci; 2019 Feb; 128():299-324. PubMed ID: 30553814
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of computational fluid dynamics in inhaler design.
    Ruzycki CA; Javaheri E; Finlay WH
    Expert Opin Drug Deliv; 2013 Mar; 10(3):307-23. PubMed ID: 23289401
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effect of design on the performance of a dry powder inhaler using computational fluid dynamics. Part 2: Air inlet size.
    Coates MS; Chan HK; Fletcher DF; Raper JA
    J Pharm Sci; 2006 Jun; 95(6):1382-92. PubMed ID: 16625656
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computational modelling and experimental validation of drug entrainment in a dry powder inhaler.
    Kopsch T; Murnane D; Symons D
    Int J Pharm; 2018 Dec; 553(1-2):37-46. PubMed ID: 30316002
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimizing Aerosolization Using Computational Fluid Dynamics in a Pediatric Air-Jet Dry Powder Inhaler.
    Bass K; Farkas D; Longest W
    AAPS PharmSciTech; 2019 Nov; 20(8):329. PubMed ID: 31676991
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dry powder inhaler device influence on carrier particle performance.
    Donovan MJ; Kim SH; Raman V; Smyth HD
    J Pharm Sci; 2012 Mar; 101(3):1097-107. PubMed ID: 22095397
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Particle aerosolisation and break-up in dry powder inhalers: evaluation and modelling of impaction effects for agglomerated systems.
    Wong W; Fletcher DF; Traini D; Chan HK; Crapper J; Young PM
    J Pharm Sci; 2011 Jul; 100(7):2744-54. PubMed ID: 21360707
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of design on the performance of a dry powder inhaler using computational fluid dynamics. Part 1: Grid structure and mouthpiece length.
    Coates MS; Fletcher DF; Chan HK; Raper JA
    J Pharm Sci; 2004 Nov; 93(11):2863-76. PubMed ID: 15389665
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Towards the optimisation and adaptation of dry powder inhalers.
    Cui Y; Schmalfuß S; Zellnitz S; Sommerfeld M; Urbanetz N
    Int J Pharm; 2014 Aug; 470(1-2):120-32. PubMed ID: 24792975
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer-aided design of dry powder inhalers using computational fluid dynamics to assess performance.
    Suwandecha T; Wongpoowarak W; Srichana T
    Pharm Dev Technol; 2016; 21(1):54-60. PubMed ID: 25265389
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a New Inhaler for High-Efficiency Dispersion of Spray-Dried Powders Using Computational Fluid Dynamics (CFD) Modeling.
    Longest W; Farkas D
    AAPS J; 2019 Feb; 21(2):25. PubMed ID: 30734133
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CFD-DEM investigation of the effects of aperture size for a capsule-based dry powder inhaler.
    Zhu Q; Kakhi M; Jayasundara C; Walenga R; Behara SRB; Chan HK; Yang R
    Int J Pharm; 2023 Nov; 647():123556. PubMed ID: 37890648
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Cyclops for pulmonary delivery of aminoglycosides; a new member of the Twincer™ family.
    Hoppentocht M; Akkerman OW; Hagedoorn P; Frijlink HW; de Boer AH
    Eur J Pharm Biopharm; 2015 Feb; 90():8-15. PubMed ID: 25615881
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the Use of Computational Fluid Dynamics (CFD) Modelling to Design Improved Dry Powder Inhalers.
    Fletcher DF; Chaugule V; Gomes Dos Reis L; Young PM; Traini D; Soria J
    Pharm Res; 2021 Feb; 38(2):277-288. PubMed ID: 33575958
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Investigation on the influence of design features on the performance of dry powder inhalers: Spiral channel, mouthpiece dimension, and gas inlet.
    Ye Y; Fan Z; Ma Y; Zhu J
    Int J Pharm; 2023 Jul; 642():123116. PubMed ID: 37302669
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.