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Geng Tian

Researcher at Food and Drug Administration

Publications -  27
Citations -  1226

Geng Tian is an academic researcher from Food and Drug Administration. The author has contributed to research in topics: Boundary value problem & Transient (oscillation). The author has an hindex of 20, co-authored 27 publications receiving 1005 citations. Previous affiliations of Geng Tian include Virginia Commonwealth University & Center for Drug Evaluation and Research.

Papers
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Comparing MDI and DPI Aerosol Deposition Using In Vitro Experiments and a New Stochastic Individual Path (SIP) Model of the Conducting Airways

TL;DR: The developed in silico model provides new insights into the lung delivery of pharmaceutical aerosols and can be applied in future studies in combination with pharmacokinetic analysis to establish bioequivalence between devices.
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Development of a stochastic individual path (SIP) model for predicting the tracheobronchial deposition of pharmaceutical aerosols: Effects of transient inhalation and sampling the airways

TL;DR: A new stochastic individual path (SIP) modeling approach for simulating the MT and TB deposition of a pharmaceutical aerosol from a dry powder inhaler and to evaluate the effects of transient vs. steady state conditions and sampling of the airways is developed.
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Characterization of Respiratory Drug Delivery with Enhanced Condensational Growth using an Individual Path Model of the Entire Tracheobronchial Airways

TL;DR: Evaluating the delivery of inhaled pharmaceutical aerosols using an enhanced condensational growth (ECG) approach in an airway model extending from the oral cavity to the end of the tracheobronchial (TB) region indicated that targeting the region of TB deposition by controlling the inlet temperature conditions and initial aerosol size also appeared possible.
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Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data

TL;DR: CFD simulations with the SIP modeling approach were shown to accurately predict regional deposition throughout the lungs for multiple aerosol types and different in vivo assessment methods.
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Targeting Aerosol Deposition to and Within the Lung Airways Using Excipient Enhanced Growth

TL;DR: The trend of higher flow rates resulting in better alveolar delivery of aerosols is unique to EEG and may be used to design highly efficient dry powder inhalers.