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

FPF_predict window

Project Activity

See All Activity >

Categories

Medical, Machine Learning, Test and Measurement

License

GNU General Public License version 3.0 (GPLv3)

Follow FPF_predict

FPF_predict Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
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, Manufacturing, Science/Research

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
Report inappropriate content