Forecasting the in vivo performance of four low solubility drugs from their in vitro dissolution data.
about
Colloid formation by drugs in simulated intestinal fluid.On the assessment of effects of food on the pharmacokinetics of drugs in early development.Antimalarial pharmacology and therapeutics of atovaquonePredictive models for oral drug absorption: from in silico methods to integrated dynamical models.Maximising use of in vitro ADMET tools to predict in vivo bioavailability and safety.FDA critical path initiatives: opportunities for generic drug development.Current methods for predicting human food effect.Application of physiologically based absorption modeling to formulation development of a low solubility, low permeability weak base: mechanistic investigation of food effect.From bench to humans: formulation development of a poorly water soluble drug to mitigate food effectDrug delivery strategies for poorly water-soluble drugs: the industrial perspective.Assembling nanoparticle coatings to improve the drug delivery performance of lipid based colloids.Pros and cons of methods used for the prediction of oral drug absorption.In vitro-in vivo correlations: general concepts, methodologies and regulatory applications.Intestinal solubility and absorption of poorly water soluble compounds: predictions, challenges and solutions.Mechanistic prediction of food effects for Compound A tablet using PBPK model.Optimization of the Ussing chamber setup with excised rat intestinal segments for dissolution/permeation experiments of poorly soluble drugs.Solid lipid particles for oral delivery of peptide and protein drugs III - the effect of fed state conditions on the in vitro release and degradation of desmopressin.An integrated methodology for assessing the impact of food matrix and gastrointestinal effects on the biokinetics and cellular toxicity of ingested engineered nanomaterials.Can the USP paddle method be used to represent in-vivo hydrodynamics?Predicting the precipitation of poorly soluble weak bases upon entry in the small intestine.Dissolution media simulating the intralumenal composition of the small intestine: physiological issues and practical aspects.Media to simulate the postprandial stomach I. Matching the physicochemical characteristics of standard breakfasts.Characterization of an active pharmaceutical ingredient by its dissolution properties: amoxicillin trihydrate as a model drug.Improving glyburide solubility and dissolution by complexation with hydroxybutenyl-beta-cyclodextrin.Comparative survival of commercial probiotic formulations: tests in biorelevant gastric fluids and real-time measurements using microcalorimetry.Use of simulated intestinal fluids with Caco-2 cells and rat ileum.Formulation and characterization of atovaquone nanosuspension for improved oral delivery in the treatment of malaria.Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status.The impact of food components on the intrinsic dissolution rate of ketoconazole.
P2860
Q30494603-D5B7815E-60D8-416C-85BC-637279D60A8EQ34642102-A8A24DD7-E65A-4D4D-88F2-B8422EBC94D9Q35131253-744807DB-627F-4CDB-87BB-5CA0B4BD59B9Q36909311-CF165D41-B691-4BA9-828F-3BCB095FB830Q36960535-FC93045B-0E4A-43B6-9E07-78050CBCB332Q37150863-5F6A2DB9-6ABB-485B-B176-18670C58A551Q37171894-5132B853-CF9C-4B56-932F-026372122DA3Q37671837-578FFE91-4825-4D64-A8AA-59AA5D54933AQ37671854-EC6A24D6-3F51-4949-8F84-204D42739C9CQ37927093-6C2056CB-D459-4FA7-BB14-1333D8A13DCCQ37967163-747AD12F-444B-405A-BF3E-19E8506D44FDQ38177366-9E7132C3-F091-46B1-B1D6-A274C5B1F8CDQ38541574-928BCC9C-7CBD-41F4-86C2-771ED797474AQ38575611-7ABB3410-DEE8-4393-8544-429D96655929Q38848902-AE180D9B-AEDA-45AF-83E9-D6826FC96151Q40529680-E45D32BD-705B-45DA-9EF0-DD765AC29729Q41150526-6FF044F7-8F5D-456D-8AB4-0547CAAD2838Q42377417-C823129D-FEFF-435E-809D-831E3851458DQ44476284-6BF0F962-E041-4B18-B561-A615B8F087F6Q44773921-788E455A-04A3-47AA-ADF1-AC7A49757DF1Q44852635-9CB2B333-D789-4A0B-8C1E-39EF821AA0EEQ44895290-2305D70E-CCAE-45DA-A5EE-F1D22CAEEC41Q45140965-C005C4A7-C3C0-4462-9680-CD2B1E87A872Q46173569-1BEEF5B8-3B26-4620-A942-13B76F765613Q46820676-45D47F5C-658B-4D70-964A-7C8CDCCF1936Q46990357-560EF933-9901-4BF6-9711-7A9972D69B9FQ47833185-0A245B0C-0C10-46C5-B1D7-1CE345AF21E9Q49716638-72B01D06-289E-497E-AFD9-00BFC850EFC8Q53573411-E78AD51F-DECE-4FBD-AC4C-A3FEDFA67112
P2860
Forecasting the in vivo performance of four low solubility drugs from their in vitro dissolution data.
description
1999 nî lūn-bûn
@nan
1999 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@ast
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@en
type
label
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@ast
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@en
prefLabel
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@ast
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@en
P2093
P356
P1476
Forecasting the in vivo perfor ...... eir in vitro dissolution data.
@en
P2093
C Efthymiopoulos
E Nicolaides
J B Dressman
P304
P356
10.1023/A:1018959511323
P577
1999-12-01T00:00:00Z