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Welcome to DrugIS.org

At drugis.org (Drug Information Systems), we are developing prototype software, to discover how ICT may assist or change the way in which pharmaceutical research and regulation is done. We work in an agile way, which means that we aim to deliver valuable, working software early on in the development process. It also means that we do not expect to know now what our software will be able to do in a year's time, but rather that we continuously work with the users of our software to discover their current, and changing, understanding of what is important and valuable. Contact us if you have any questions.

The Escher Project

Our work is funded by the Dutch Top Institute Pharma, specifically through the Escher Project workpackage 3.2. The goal of the Escher project is to "engergize pharmaceutical R&D by identifying, evaluating and removing regulatory barriers to bring effacious and safe medicines to patients in an efficient and timely fashion."

In workpackage 3.2, our goal is to create evidence-based drug information repositories in which drug efficacy and safety questions can be answered in an efficient, transparent and accountable way. Comparisons within and across medicinal products should be made in a more automated and, thus, more efficient way. See our research page for more information and useful literature.

Our Commitment: Open Development

We are committed to develop our system 'in the open.' This means that we publish our software as early as possible and as often as possible, enabling others to use and critique our software and development process. On this website, we will keep you up to date on the current status of our software and new releases. Furthermore, all source code is made publicly available, under an Open Source license, allowing deep peer-review of our software. Our liberal software licensing also allows others to create spin-off programs from our source code, as long as they likewise make their source code available.

Our Software

ADDIS: Aggregate Data Drug Information System

ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. We aim to support the automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment.

If you want to be notified when we release a new version of ADDIS, please subscribe to our mailing list, addis-announce. On this list, we will make important announcements regarding ADDIS, such as a new release. We expect that at most one e-mail will be sent each month.

MTC: Mixed Treatment Comparison model generation

drugis.org MTC is a library for Mixed Treatment Comparison (also known as network meta-analysis) model generation. It is the first software of its kind, and vastly simplifies the work of a researcher performing network meta-analysis.

JSMAA: Stochastic Multicriteria Acceptability Analysis

JSMAA is a Java implementation of Stochastic Multicriteria Acceptability Analysis (SMAA). SMAA is a family of Multi-Criteria Decision Aiding (MCDA) methods, that allow defining preference information and measurements with imprecise, uncertain, or missing values. Specifically, JSMAA is used within ADDIS to perform benefit-risk analysis.