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Melanoma Research
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August 20, 2019
Validation of dabrafenib-trametinib prognostic groups in patients treated with vemurafenib and cobimetinib for advanced BRAF-mutated melanoma
Michael J Sorich, Andrew Rowland, Ashley M Hopkins
Clinical Pharmacology and Therapeutics
|
June 22, 2011
The importance of high-quality evidence of the long-term impact of nonfatal events used in randomized controlled trials: a case study of prasugrel
C Y Lu, J Karnon, M J Sorich
Pharmacogenomics
|
June 5, 2014
Cost-effectiveness of genotyping to guide treatment
Michael J Sorich, Michael D Wiese, Brita Pekarsky
European Urology
|
September 22, 2020
Reply to Satoshi Funada, Takashi Yoshioka, and Yan Luo's Letter to the Editor re: Ashley M. Hopkins, Ganessan Kichenadasse, Christos S. Karapetis, et al. Concomitant Antibiotic Use and Survival in Urothelial Carcinoma Treated with Atezolizumab. Eur Urol 2020;78:540-3
Ashley M Hopkins, Ganessan Kichenadasse, Michael J Sorich
Therapeutics and Clinical Risk Management
|
May 14, 2008
A critical analysis of barriers to the clinical implementation of pharmacogenomics
Ross A McKinnon, Michael B Ward, Michael J Sorich
Journal of Chemical Information and Modeling
|
November 28, 2006
Molecular modeling approaches for the prediction of the nonspecific binding of drugs to hepatic microsomes
Matthew J Sykes, Michael J Sorich, John O Miners
Journal of Chemical Information and Modeling
|
July 3, 2009
Comparison data sets for benchmarking QSAR methodologies in lead optimization
Ruchi R Mittal, Ross A McKinnon, Michael J Sorich
Journal of Molecular Modeling
|
November 27, 2007
Effect of steric molecular field settings on CoMFA predictivity
Ruchi R Mittal, Ross A McKinnon, Michael J Sorich
Pharmacogenomics
|
June 9, 2012
Impact of the UGT1A1*28 allele on response to irinotecan: a systematic review and meta-analysis
Mafalda M Dias, Ross A McKinnon, Michael J Sorich
JAMA Internal Medicine
|
February 26, 2024
Potential of Large Language Models as Tools Against Medical Disinformation-Reply
Ashley M Hopkins, Bradley D Menz, Michael J Sorich
Page
of 22
Search research articles
Search
Showing results (11-20 of 216) with videos related to
Sort By:
Page
of 22
Melanoma Research
|
August 20, 2019
Validation of dabrafenib-trametinib prognostic groups in patients treated with vemurafenib and cobimetinib for advanced BRAF-mutated melanoma
Michael J Sorich, Andrew Rowland, Ashley M Hopkins
Clinical Pharmacology and Therapeutics
|
June 22, 2011
The importance of high-quality evidence of the long-term impact of nonfatal events used in randomized controlled trials: a case study of prasugrel
C Y Lu, J Karnon, M J Sorich
Pharmacogenomics
|
June 5, 2014
Cost-effectiveness of genotyping to guide treatment
Michael J Sorich, Michael D Wiese, Brita Pekarsky
European Urology
|
September 22, 2020
Reply to Satoshi Funada, Takashi Yoshioka, and Yan Luo's Letter to the Editor re: Ashley M. Hopkins, Ganessan Kichenadasse, Christos S. Karapetis, et al. Concomitant Antibiotic Use and Survival in Urothelial Carcinoma Treated with Atezolizumab. Eur Urol 2020;78:540-3
Ashley M Hopkins, Ganessan Kichenadasse, Michael J Sorich
Therapeutics and Clinical Risk Management
|
May 14, 2008
A critical analysis of barriers to the clinical implementation of pharmacogenomics
Ross A McKinnon, Michael B Ward, Michael J Sorich
Journal of Chemical Information and Modeling
|
November 28, 2006
Molecular modeling approaches for the prediction of the nonspecific binding of drugs to hepatic microsomes
Matthew J Sykes, Michael J Sorich, John O Miners
Journal of Chemical Information and Modeling
|
July 3, 2009
Comparison data sets for benchmarking QSAR methodologies in lead optimization
Ruchi R Mittal, Ross A McKinnon, Michael J Sorich
Journal of Molecular Modeling
|
November 27, 2007
Effect of steric molecular field settings on CoMFA predictivity
Ruchi R Mittal, Ross A McKinnon, Michael J Sorich
Pharmacogenomics
|
June 9, 2012
Impact of the UGT1A1*28 allele on response to irinotecan: a systematic review and meta-analysis
Mafalda M Dias, Ross A McKinnon, Michael J Sorich
JAMA Internal Medicine
|
February 26, 2024
Potential of Large Language Models as Tools Against Medical Disinformation-Reply
Ashley M Hopkins, Bradley D Menz, Michael J Sorich
Page
of 22