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
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it 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, 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
Report inappropriate content