DDI-Predictor
Website and API dedicated to the quantitative prediction of drug-drug interactions.
Briefing
At the beginning, Pr. Michel Tod just wanted an interface that would allow him to speed-up the systematic detection and computing of drug-drug interactions during his prescription analysis work at an hospital pharmacy. To do so, the application would make use of the mathematical model and parameters database he developed with his research team at University Claude Bernard, Lyon, France.
Services
What we built
Ddi-predictor.org offers different tools and information regarding drug-drug interactions mediated by cytochromes, and the effect of some genetic polyphorisms and cirrhosis. Additionally, the real-time validation graph makes it very easy to ascertain that the model remains correct over time. The presence of 20 publications also provides more background to the results and ensure that they are understood by the practitioner.
Expertise
Life of the project
2013
We start the project with a minimum viable product
2016
We create DDPred, a spin-off dedicated to BtoB clients
2019
Pulsalys, a french Deep Tech incubator, acquires the project and starts promoting the API
Today
The website is widely used by practioners in France, and the website receives 1000+ visitors each month and serves 100+ predictions per day. Several BtoB clients integrated the API into their own solutions which are used in dozens of hospitals in France and make 100,000+ predictions each month.
About the client
UCBL is a university at the cutting edge of innovation. Lyon 1 delivers high quality education and research excellence within an attractive environment. Its international reach extends through the fields of science, technology, health and sport. Lyon 1 is also a university that is committed to support, creation and sharing with respect to everyone within its community.
