Application implements models described by classical mathematical equation for in vitro deposition prediction based on characteristics of formulation and assay conditions.
This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012.
Published article: https://www.dovepress.com/empirical-modeling-of-the-fine-particle-fraction-fornbspcarrier-based--peer-reviewed-fulltext-article-IJN
License
GNU General Public License version 3.0 (GPLv3)Follow FPF_predict
Other Useful Business Software
Enterprise-grade ITSM, for every business
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of FPF_predict!