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J Amos

Showing results (91-100 of 144) with videos related to

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Annals of Plastic Surgery|March 26, 2008
Functional binding of human adipose-derived stromal cells: effects of extraction method and hypoxia pretreatmentPeter J Amos, Alexander M Bailey, Hulan Shang, et al.
Military Medicine|January 22, 2025
Insights Into the Health of Postpartum Airmen From the U.S. Air Force Fitness DatabaseMelanie J Frost, Danielle K Boeke, Erin M Flerlage, et al.
BMJ (Clinical Research Ed.)|May 4, 2012
Anaemia and unexplained abdominal pain: looking for a leadDimitris A Tsitsikas, Michelle Emery, Suzanne Pomfret, et al.
Transfusion and Apheresis Science : Official Journal of the World Apheresis Association : Official Journal of the European Society for Haemapheresis|June 13, 2017
A 5-year cost analysis of automated red cell exchange transfusion for the management of recurrent painful crises in adult patients with sickle cell diseaseDimitris A Tsitsikas, Anietie Ekong, Lauren Berg, et al.
Electrophoresis|April 7, 2019
Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatographyYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
British Journal of Haematology|July 10, 2001
Antenatal testing for haemoglobinopathiesB J Bain, R J Amos, D Bareford, et al.
Analytical Chemistry|February 18, 2017
Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure-Retention Relationships and Design of ExperimentsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systemsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry|June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted MetabolomicsYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A|February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction ModelYabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Pageof 15

Showing results (91-100 of 144) with videos related to

Sort By:
Pageof 15
Annals of Plastic Surgery|March 26, 2008
Functional binding of human adipose-derived stromal cells: effects of extraction method and hypoxia pretreatmentPeter J Amos, Alexander M Bailey, Hulan Shang, et al.
Military Medicine|January 22, 2025
Insights Into the Health of Postpartum Airmen From the U.S. Air Force Fitness DatabaseMelanie J Frost, Danielle K Boeke, Erin M Flerlage, et al.
BMJ (Clinical Research Ed.)|May 4, 2012
Anaemia and unexplained abdominal pain: looking for a leadDimitris A Tsitsikas, Michelle Emery, Suzanne Pomfret, et al.
Transfusion and Apheresis Science : Official Journal of the World Apheresis Association : Official Journal of the European Society for Haemapheresis|June 13, 2017
A 5-year cost analysis of automated red cell exchange transfusion for the management of recurrent painful crises in adult patients with sickle cell diseaseDimitris A Tsitsikas, Anietie Ekong, Lauren Berg, et al.
Electrophoresis|April 7, 2019
Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatographyYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
British Journal of Haematology|July 10, 2001
Antenatal testing for haemoglobinopathiesB J Bain, R J Amos, D Bareford, et al.
Analytical Chemistry|February 18, 2017
Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure-Retention Relationships and Design of ExperimentsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Journal of Chromatography. A|June 8, 2017
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systemsMaryam Taraji, Paul R Haddad, Ruth I J Amos, et al.
Analytical Chemistry|June 29, 2018
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted MetabolomicsYabin Wen, Ruth I J Amos, Mohammad Talebi, et al.
Journal of Chromatography. A|February 19, 2018
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction ModelYabin Wen, Mohammad Talebi, Ruth I J Amos, et al.
Pageof 15