A key component of our client’s work involves identifying early stage biomedical innovations so that they can team up with the inventor to take it from idea to working product. With thousands of academic articles being published each day, a manual search is prohibitively expensive.

Through iterative development cycles, ADC built a solution that would recommend a limited number of academic articles to the client each day. By using the client’s own favourite articles and supervised learning, we built a recommender system using NLP to read the articles and present the most interesting ones to the client.


Reduced manual search to tens of articles from thousands. Automated solution via web-app.

Curious what we can do for your organisation?

Would you like to know more this case or what the Amsterdam Data Collective can do for you? Get in touch with Dennis Diederix at ddiederix@amsterdamdatacollective.com, or check our contactpage.