Resultados da pesquisa - John M. Burke

Using Multiple Choice Questions Written at Various Bloom's Taxonomy Levels to Evaluate Student Performance across a Therapeutics Sequence Por Amy M. Tiemeier, Zachary A. Stacy, John M. Burke

Connect to this object online.

Mechanistic PK/PD modeling to address early-stage biotherapeutic dosing feasibility questions Por Joshuaine Grant, Fei Hua, Joshua F. Apgar, John M. Burke, Diana H. Marcantonio

Connect to this object online.

Quantitative systems pharmacology model of GITR‐mediated T cell dynamics in tumor microenvironment Por Yan Ji, Kumpal Madrasi, Deborah A. Knee, Lore Gruenbaum, Joshua F. Apgar, John M. Burke, Bruce Gomes

Connect to this object online.

Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions Por Diana H. Marcantonio, Andrew Matteson, Marc Presler, John M. Burke, David R. Hagen, Fei Hua, Joshua F. Apgar

Connect to this object online.

Quantitative Systems Pharmacology Model of a Masked, Tumor‐Activated Antibody Por Mark Stroh, Jason Sagert, John M. Burke, Joshua F. Apgar, Lin Lin, Bjorn L. Millard, W. Michael Kavanaugh

Connect to this object online.

Using Multiple Choice Questions Written at Various Bloom's Taxonomy Levels to Evaluate Student Performance across a Therapeutics Sequence Por Amy M. Tiemeier, Pharm.D., BCPS, Zachary A. Stacy, Pharm.D., BCPS, John M. Burke, Pharm.D., FCCP, BCPS

Connect to this object online.

Comparison of dose selection based on target engagement versus inhibition of receptor-ligand interaction for checkpoint inhibitors Por Sarah A. Head, Carter Johnson, Saheli Sarkar, Andrew Matteson, Diana H. Marcantonio, Fei Hua, John M. Burke, Joshua F. Apgar, David Flowers

Connect to this object online.

Virtual clinical trial simulations for a novel KRASG12C inhibitor (ASP2453) in non‐small cell lung cancer Por Hiroyuki Sayama, Diana Marcantonio, Takeyuki Nagashima, Masashi Shimazaki, Tsuyoshi Minematsu, Joshua F Apgar, John M. Burke, Lucia Wille, Yasuhisa Nagasaka, Daniel C. Kirouac

Connect to this object online.

Quantitative systems pharmacology model for Alzheimer's disease to predict the effect of aducanumab on brain amyloid Por Lin Lin, Fei Hua, Cristian Salinas, Carissa Young, Thierry Bussiere, Joshua F. Apgar, John M. Burke, Kumar Kandadi Muralidharan, Rajasimhan Rajagovindan, Ivan Nestorov

Connect to this object online.

A systems pharmacology model for gene therapy in sickle cell disease Por Bo Zheng, Lucia Wille, Karsten Peppel, David Hagen, Andrew Matteson, Jeffrey Ahlers, James Schaff, Fei Hua, Theresa Yuraszeck, Enoch Cobbina, Joshua F. Apgar, John M. Burke, John Roberts, Raibatak Das

Connect to this object online.