Zobrazeno 1 - 10 of 303 pro vyhledávání: '"R. BIES"'
1
Akademický článek
Application of machine learning to predict reduction in total PANSS score and enrich enrollment in schizophrenia clinical trials
Autor: Jagdeep T. Podichetty, Rebecca M. Silvola, Violeta Rodriguez‐Romero, Richard F. Bergstrom, Majid Vakilynejad, Robert R. Bies, Robert E. Stratford Jr.
Publikováno v: Clinical and Translational Science, Vol 14, Iss 5, Pp 1864-1874 (2021)
Abstract Clinical trial efficiency, defined as facilitating patient enrollment, and reducing the time to reach safety and efficacy decision points, is a critical driving factor for making improvements in therapeutic development. The present work eval
Externí odkaz: https://doaj.org/article/465bc14d8d9e43dfb47e8832dbded935
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2
Akademický článek
Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques
Autor: Violeta Rodriguez‐Romero, Richard F. Bergstrom, Brian S. Decker, Gezim Lahu, Majid Vakilynejad, Robert R. Bies
Publikováno v: Clinical and Translational Science, Vol 12, Iss 5, Pp 519-528 (2019)
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive biomarkers for diabetic nephropathy (DN), a common complication of type 2 diabetes mellitus (T2DM). A retrospective analysis of the Action to Control
Externí odkaz: https://doaj.org/article/0da24c3996ec40f793a35d311e444598
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3
A Physiologically-Based Pharmacokinetic Model of the Brain Considering Regional Lipid Variance
Autor: Andrew McPherson, Heitman, Robert R, Bies, Sorell L, Schwartz
Publikováno v: Journal of Pharmacology and Experimental Therapeutics. 383:217-226
Modeling and simulation of the central nervous system provides a tool for understanding and predicting the distribution of small molecules throughout the brain tissue and cerebral spinal fluid (CSF), and these efforts often rely on empirical data to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfbfdeab87b4e04e48242e9b3123f0f
https://doi.org/10.1124/jpet.122.001256
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4
Akademický článek
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7
Data from Resampling Phase III Data to Assess Phase II Trial Designs and Endpoints
Autor: Mark J. Ratain, Walter M. Stadler, Michael L. Maitland, Robert R. Bies, Yuyan Jin, Theodore G. Karrison, Manish R. Sharma
Purpose: The best phase II design and endpoint for growth inhibitory agents is controversial. We simulated phase II trials by resampling patients from a positive (sorafenib vs. placebo; TARGET) and a negative (AE941 vs. placebo) phase III trial in me
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1016eb3fdbbc6b68ef35136883c30cf7
https://doi.org/10.1158/1078-0432.c.6519903.v1
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10
Population pharmacodynamic modeling of intramuscular and oral dexamethasone and betamethasone effects on six biomarkers with circadian complexities in Indian women
Autor: Robert R. Bies, Thomas Peppard, Alan H. Jobe, Mark A. Milad, William J. Jusko, Wojciech Krzyzanski
Publikováno v: Journal of Pharmacokinetics and Pharmacodynamics
Population pharmacokinetic/pharmacodynamic (PK/PD) analysis was performed for extensive data for differing dosage forms and routes for dexamethasone (DEX) and betamethasone (BET) in 48 healthy nonpregnant Indian women in a partial and complex cross-o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c09a2c3448760351620ad51f6d72672
https://doi.org/10.1007/s10928-021-09755-y
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