Big Data + Genomics = Earlier Disease Detection

Mar 10, 2019

5:00pm – 6:00pm CT

Recording: Big Data + Genomics = Earlier Disease Detection, Mar 10, 2019

Public health surveillance is at a crossroads --innovation is pairing big data and genetics to understand, diagnose and treat infectious scourges that have defined world history. Handheld genetic sequencers can diagnose an infection in hours, determine where it originated and even identify what drugs will work to fight it. The technology is accessible so that diseases like the Zika virus, Ebola fever and tuberculosis can be controlled in the Democratic Republic of the Congo and Brazil just as quickly as in the United States. Working through the technical and ethical challenges of genomics and its big data, the Nirvana of precision public health can be achieved when these bugs can be geospatially mapped.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

David Blazes

The Bill and Melinda Gates Foundation

Jennifer Gardy

School of Population and Public Health, University of British Columbia

Sheri Lewis

The Johns Hopkins University Applied Physics Laboratory

Details

Primary Entry:
Platinum Badge
Interactive Badge
Secondary Entry:
Music Badge
Film Badge
Format:

Panel

Type:

Session

Track:

Health & MedTech presented by Kaiser Permanente

Level:

Advanced