Results 41 to 50 of about 1,005 (158)
INRODUCTION. Biowaiver procedure based on the biopharmaceutics classification system (BCS) is widely used in regulatory practice when assessing the bioequivalence of generic medicinal products (GMPs).
N. J. Dahma +5 more
doaj +1 more source
In Vitro – In Vivo Correlation of Pentoxifylline: A Comprehensive Kinetic Analysis
This study presents an analysis of In Vitro-In Vivo Correlation (IVIVC) for pentoxifylline modified-release tablets, with a focus on deriving robust predictive models.
Maria CODREANU +5 more
doaj +1 more source
Ciprofloxacin, commonly used in India as an anti-microbial for prolonged use in chronic and non-specific indications, may affect the bioavailability of the drug. The drug prescribed is commonly taken with multivitamins, calcium and milk.
Baishakhi Dey +5 more
doaj +1 more source
ABSTRACT This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure–activity relationship (QSAR) models, for absorption, distribution, metabolism, and excretion (ADME) properties across drug development ...
Xinyue Chen, Zhoumeng Lin
wiley +1 more source
For the past three decades, the principle of nanotechnology has been widely employed to develop pharmaceuticals and bio-pharmaceuticals that are successful for many disease therapies.
Nandakumar Selvasudha +3 more
doaj +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Modeling Polymeric Drug Release: The Emerging Role of Machine Learning
A review of mechanistic, empirical, and machine learning (ML) approaches for modeling drug release from polymeric systems, highlighting how data‐driven methods uncover relationships between formulation parameters and release behavior to guide future drug delivery design.
Ryan N. Woodring, Kristy M. Ainslie
wiley +1 more source
Sirolimus, a potent immunosuppressant, has been demonstrated to have remarkable activity in inhibiting allograft rejection in transplantation.
Yasir Mehmood +5 more
doaj +1 more source
Microbial metabolites in tumor epigenetic regulation
The gut microbiome modulates tumor epigenetic regulation through bioactive metabolites derived from dietary substrates. Microbiota‐produced SCFAs, secondary BAs, one‐carbon metabolites, and tryptophan‐derived ligands regulate histone acetylation, DNA methylation, and chromatin remodeling via HDAC, DNMT, AhR, and metabolic cofactor‐dependent pathways ...
Wangzheqi Zhang +31 more
wiley +1 more source
Establishing Prospective IVIVC for Generic Pharmaceuticals: Methodologies Assessment [PDF]
The present study was aimed to establish prospective IVIVC method for generic products using example of two different drug formulations (aprepitant capsules, immediate release and donepezil tablets, sustained release). The in vitro dissolution of these formulations was examined by using USP-II apparatus and different range of dissolution media.
Sumon Chakraborty +2 more
openaire +1 more source

