No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
My Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
There aren't any available sessions at this time.
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2019 GTC San Jose

S9614 - How To Use GPUs For Faster, Better and Cheaper Drug Development

Session Speakers
Session Description

We'll demonstrate how different kinds of AI techniques can be used across all four stages of drug development — preclinical, clinical, regulatory, and commercial. Each stage requires a huge volume of mostly unstructured data that must be analyzed to generate insights. We'll provide several examples of our methods, including using GPUs to accelerate segmentation and image processing in information extraction from PDFs, HTML files, and images combining CNN and LSTM. Other examples include using GPUs to accelerate training to identify biomedical entities and resolve them to correct type with a combination of CRF and RNN. We're also using GPUs to accelerate graph traversals in mapping connections among millions of biomedical concepts in real time.


Additional Information
Healthcare - Informatics/Real World Evidence
AI/Deep Learning Business Track (High Level) Healthcare - Informatics/Real World Evidence
Healthcare & Life Sciences
Business/Executive level
Talk
50 minutes
Session Schedule