Biopharmaceutical research

One challenge that remains in biopharmaceutics research is that of correlating in vitro drug-release profiles with the in vivo pharmacokinetic data. TVIVC has been defined by the... 

Use of In Vitro Models of Tracheo-Bronchial Epithelial Barriers in Biopharmaceutical Research... 

Swintosky, J.V., Personal adventures in biopharmaceutical research during the 1953-1984 years, Drug Intell. Clin. Pharm., 19, 265, 1985. 

Ficenec D, Osborne M, Pradines J et al. Computational knowledge integration in biopharmaceutical research. Brief Bioinformatics 2003 4 260-278. 

This chapter will give you an overview of recent approaches for drug development, focusing on the function and roles of carbohydrates. O Section 2 will outline the biochemical functions of polysaccharide (neutral polysaccharide, chitin and chitosan, glycosaminoglycan, and synthetic polysaccharides) and glycopolymers and the perspectives of their medicinal/medical use. O Section 3 will outline recent biopharmaceutical research and development, utilizing... 

CH25 STATISTICAL PRINCIPLES AND APPLICATION IN BIOPHARMACEUTICAL RESEARCH... 

Uppsala University Biopharmaceutics Research Group Department of Pharmacy SE-751 23 Uppsala Sweden... 

Biopharmaceutical research often involves the collection of repeated measures on experimental units (such as patients or healthy volunteers) in the form of longitudinal data and/or multilevel hierarchical data. Responses collected on the same experimental unit are typically correlated and, as a result, classical modeling methods that assume independent observations do not lead to valid inferences. Mixed effects models, which allow some or all of the parameters to vary with experimental unit through the inclusion of random effects, can flexibly account for the within-unit correlation often observed with repeated measures and provide proper inference. This chapter discusses the use of mixed effects models to analyze biopharmaceutical data, more specihcally pharmacokinetic (PK) and pharmacodynamic (PD) data. Different types of PK and PD data are considered to illustrate the use of the three most important classes of mixed effects models linear, nonlinear, and generalized linear. 

It is important to acknowledge just how cutting-edge today s biopharmaceutical research is. Much of it is frontier, not textbook, science. Moving new and experimental techniques and technologies from the R D lab into clinical testing, research and patient care is a costly, time-consuming process, which ultimately may not even yield commercial or health benefits. 

Pharmaceutical and biopharmaceutical research hence is a perfect application oriented continuation of what is going on in... 

There are now a number of journals devoted to medical statistics. Statistics in Medicine was founded in 1981 and has grown rapidly to have 24 issues and over 4000 pages a year. Statistical Methods in Medical Research is a general review journal founded in 1992 The Journal of Biopharmaceutical Statistics is specifically devoted to statistical issues in drug development and was started in 1991. New journals since the year 2000 include Biostatistics (2000), Pharmaceutical Statistics (2002) and Statistics in Biopharmaceutical Research (2007). Other journals of relevance that often have a strong statistical content are Contemporary Clinical Trials, Clinical Trials, The Journal of Clinical Epidemiology and the Drug Information Journal and, of course, many older statistical journals such as Biometrics, Biometrika, The Journal of the Royal Statistical Society and the Journal of the American Statistical Association, have papers on medical statistics. 

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