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

nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use. Icon
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Start for 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