Structuring the unstructured: Deterministic AI and white box data cleanliness

Speed and safety in drug development and discovery represent some of the biggest challenges and opportunities facing life sciences companies today. It costs around $1 billion to develop one successful drug, for instance, and only one out of 10 drug candidates successfully passes clinical trial testing and regulatory approval.

In a new pharmaphorum podcast, web editor Nicole Raleigh speaks with Jane Reed, director of life sciences at Linguamatics, an IQVIA company - which, since the conversation took place, has rebranded to IQVIA-NLP - to discuss some of the major barriers preventing researchers from accessing the data they need to advance drug discovery and development and address safety concerns – and just how AI technologies can assist.

Linguamatics (now IQVIA-NLP) provides natural language processing (NLP) tools and technologies to the pharmaceutical industry. Unstructured text is one of the challenges preventing access to information – 80% of all data needed in life sciences is held in unstructured format; a huge amount of information. And having deterministic white box rules means the sought information can be surfaced in a measurable and clean – as well as useful – way.

As to what will be around in even a year’s time? Now, that’s an exciting concept…

You can listen to episode 149a of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series - in iTunes, Spotify, Amazon Music, Podbean, and pretty much wherever you get your other podcasts!