Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and …
K Ganguly, U Carlander, EDG Garessus… - Critical reviews in …, 2019 - Taylor & Francis
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and …
K Ganguly, U Carlander, EDG Garessus… - Critical Reviews in …, 2019 - hero.epa.gov
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and …
K Ganguly, U Carlander, EDG Garessus… - Critical reviews in …, 2019 - diva-portal.org
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and …
K Ganguly, U Carlander, ED Garessus… - Critical Reviews in …, 2019 - europepmc.org
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and …
K Ganguly, U Carlander… - Critical reviews in …, 2019 - pubmed.ncbi.nlm.nih.gov
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
[PDF][PDF] Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge …
K Ganguly, U Carlander, EDG Garessus, M Fridén… - 2019 - academia.edu
Computational modeling together with experimental data are essential to assess the risk for
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of …
[引用][C] Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge …
K Ganguly, U Carlander, EDG Garessus… - Critical Reviews in …, 2019 - cir.nii.ac.jp
Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary
disease (COPD) patients: identification of gaps in knowledge and data | CiNii Research CiNii …
disease (COPD) patients: identification of gaps in knowledge and data | CiNii Research CiNii …