DrugBank invites you to their event

Improve and Accelerate Early-Stage Drug Discoveries

About this event

Drug discovery is a long, difficult, and expensive process. As a result researchers are turning to data science and AI in an attempt to increase success rates and reduce time to trial.

However, research results are only as good as the data used. And with more than 2 million scientific journals published each year, keeping up is nearly impossible.

In this 15-minute webinar, you’ll learn how DrugBank combines AI and human expertise to structure and connect the world’s latest biomedical knowledge—so you don’t have to.

From in silico testing to machine learning and enhancing data pools, you’ll explore the many use-cases our data platform supports, and learn how you can examine new strategies in days instead of weeks.

Stick around afterwards for a 10-minute Q&A with a DrugBank Expert!

Hosted by

  • Team member
    T
    Chris Klinger Scientific Support Lead @ DrugBank

    Chris holds a PhD in Medicine and is interested in the use of computation to solve biomedical problems. Currently, Chris heads DrugBank’s Scientific Support team, where he is responsible for staying on top of the latest trends and biomedical research.

DrugBank

The world's pharmaceutical knowledge in one place.

A global provider of drug data solutions that accelerate drug research and improve healthcare delivery.