Results 21 to 30 of about 12,165 (138)
Optimization of paclitaxel loaded poly (ε-caprolactone) nanoparticles using Box Behnken design
Optimization is a critical process in the development of nanoparticles to apprehend the formulation variables and quality attributes. The purpose of this study was to evaluate the influence of formulation variables viz., drug/polymer ratio (A ...
Nandhakumar Sathyamoorthy +3 more
doaj +1 more source
USE OF BOX–BEHNKEN DESIGN FOR OPTIMIZATION OF COMPOUNDED MEDICATION: ACYCLOVIR CAPSULES REPORT
Campus compounding pharmacies play an important role in public health. Herpes simplex is one of the most common viral diseases in humans, which generates a great demand for acyclovir capsules in compounding pharmacy. It is well known that the formulation'
Suelen da Silva Reis +7 more
doaj +5 more sources
A virtual experiment conducted using the ICP-MS TuneSim software served as the basis for studies that compared the applicability of the central composite design with the Box–Behnken design in analytical chemistry applications.
Agnieszka Królicka, Anna Szczurkowska
doaj +1 more source
Silver nanoparticles in the medical field are used as additives in vaccines, anti-diabetic agents, wound and bone healing, biosensors and anticancer therapy in medical applications.
Qinta Laily Nurjana +3 more
doaj +1 more source
The objective of this study was to examine extensively the influences of formulation and process variables on the microparticles. The microparticles were generated by the spray-drying technique using polymer chitosan, mannitol along with L-leucine.
P V Patel +3 more
doaj +1 more source
Optimization Studies on Imatinib Mesylate Loaded Nanoliposomes Using Box-Behnken Design
Nanoliposomes are bilayer phospholipid vesicles used to encapsulate and deliver therapeutic agents. The study was aimed to investigate the effects of critical variables on nanoliposomes characteristics.
Mandeep Dahiya +12 more
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Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
Felbinac, an active pharmaceutical ingredient (API) used clinically for the treatment of osteoarthritis, has poor solubility. Felbinac cataplasm product design was investigated using rheological and mechanical analyses.
Jie Yang +3 more
doaj +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
The present work deals with QbD-based development of FEB-loaded nanoemulsion (FEB-NE) in order to enhance bioavailability and permeability. In the beginning, the risk assessment was performed on different experimental variables using the Ishikawa diagram
Vishal C. Gurumukhi +5 more
doaj +1 more source

