Results 31 to 40 of about 1,005 (158)

In Vitro–In Vivo Correlation: Importance of Dissolution in IVIVC [PDF]

Dissolution Technologies, 2007
Introduction Correlations between in vitro and in vivo data (IVIVC) are often used during pharmaceutical development in order to reduce development time and optimize the formulation. A good correlation is a tool for predicting in vivo results based on in vitro data.
J-M. Cardot, E. Beyssac, M. Alric
openaire   +1 more source

IVIVC assessment, pharmacokinetic evaluation, and X-ray radiography mapping of Novel Parteck® SRP 80 and hypromellose-loaded LTD4 receptor antagonist chronosystem

Future Journal of Pharmaceutical Sciences, 2023
Background The current research aims to determine the pharmacokinetic parameters, mucoadhesive strength, and IVIVC correlation of the novel chronotherapeutic drug delivery system of montelukast sodium (MTS) loaded Parteck® SRP80 and hypromellose system ...
Saniya Jawed, C. S. Satish
doaj   +1 more source

IVIVC Revised

Pharmaceutical Research
To revise the IVIVC considering the physiologically sound Finite Absorption Time (F.A.T.) and Finite Dissolution Time (F.D.T.) concepts.The estimates τ and τd for F.A.T. and F.D.T., respectively are constrained by the inequality τd ≤ τ; their relative magnitude is dependent on drug's BCS classification.
Nikolaos Alimpertis, Antony Simitopoulos, Athanasios A. Tsekouras, Panos Macheras   +3 more
openaire   +3 more sources

Development of in vitro - in vivo correlations for newly optimized Nimesulide formulations. [PDF]

PLoS ONE, 2018
Use of the human volunteers in bioequivalence studies is being discouraged by the Food and drug administration after the introduction of biowaiver approaches.
Muhammad Hanif, Muhammad Harris Shoaib, Rabia Ismail Yousuf, Farya Zafar   +3 more
doaj   +1 more source

Recent Progress in Drug Release Testing Methods of Biopolymeric Particulate System

Pharmaceutics, 2021
Biopolymeric microparticles have been widely used for long-term release formulations of short half-life chemicals or synthetic peptides. Characterization of the drug release from microparticles is important to ensure product quality and desired ...
Yejin Kim, Eun Ji Park, Tae Wan Kim, Dong Hee Na   +3 more
doaj   +1 more source

In Vitro–In Vivo Correlation of Tianeptine Sodium Sustained-Release Dual-Layer Tablets

Molecules, 2022
Tianeptine tablets are currently marketed to be designed for immediate-release tablets. The tianeptine has a short half-life, making it difficult to design for sustained-release tablets and achieve bioequivalence with the tianeptine immediate-release ...
Ye-Ji Lee, Joo-Eun Kim
doaj   +1 more source

Development of a New Type of Prolonged Release Hydrocodone Formulation Based on Egalet® ADPREM Technology Using In Vivo–In Vitro Correlation

Pharmaceutics, 2011
A novel abuse deterrent, prolonged release tablet formulation of Hydrocodone for once-daily dosing has been developed, based on the novel proprietary Egalet® ADPREM technology.
Jean-Michel Cardot, Christine Gunnergaard, Pernille H. Hemmingsen, Anne-Mette Haahr   +3 more
doaj   +1 more source

Delivering Proteins and Enzymes to Solid Tumors Through the Development of Stimuli‐Responsive Nanocarriers

ChemNanoMat, Volume 12, Issue 6, June 2026.
Stimuli‐responsive strategies to achieve controlled release of protein‐based therapeutic agents into solid tumors. Proteins, enzymes, and peptides have long been recognized as valuable therapeutic agents, particularly in oncology. However, their complex chemical structures render them more sensitive than smaller chemotherapeutic drugs.
Guillermo Plaza‐Palomo, Diana Benita‐Donadios, Sandra Jiménez‐Falcao, Alejandro Baeza   +3 more
wiley   +1 more source

Development of novel risperidone implants using blends of polycaprolactones and in vitro in vivo correlation studies

Journal of Advanced Pharmaceutical Technology & Research, 2014
The objective of this study was to develop a novel implant containing risperidone intended for long-term treatment in Schizophrenia utilizing in vitro in vivo correlation (IVIVC) studies.
Aerrolla Navitha, Satheesh Jogala, Chinnala Krishnamohan, Jithan Aukunuru   +3 more
doaj   +1 more source

Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration‐Time Profiles

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 5, May 2026.
ABSTRACT Predicting pharmacokinetic (PK) profiles from molecular structures represents a significant advancement in pharmaceutical research with substantial implications for expediting drug discovery processes. We evaluated five approaches to systematically compare five distinct methodological frameworks for predicting rat plasma concentration‐time ...
Felix Jost, Clemens Giegerich, Christoph Grebner, Hans Matter, Henrik Cordes   +4 more
wiley   +1 more source