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

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow FPF_predict

FPF_predict Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FPF_predict!

Additional Project Details

Intended Audience

Healthcare Industry, Science/Research, Manufacturing

User Interface

Java Swing

Programming Language

Java

Related Categories

Java Medical Software, Java Machine Learning Software, Java Test and Measurement Software

Registered

2014-09-27