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Going viral: Can AI predict the next pandemic?

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Manage episode 380304713 series 3362245
Content provided by MaRS Discovery District. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MaRS Discovery District or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The next pandemic — it’s a question of when not if. Climate change is shifting the patterns of how and where diseases spread, and our insatiable love of travel means that viruses are now showing up in places they’ve never been before. Forecasting future outbreaks is becoming increasingly complex. But as infectious disease specialist Kamran Khan explains, this is where AI can help. Machine learning algorithms can detect patterns in data, model risk and project outcomes — and unlike humans they can work 24 hours a day. In this episode of Solve for X, host Manjula Selvarajah sits down with Khan to explore the connections between infectious disease and climate change — and how we can best harness the technology to help us prepare.

Featured in this episode:

  • Kamran Khan is an infectious disease physician and founder and CEO of BlueDot, a startup that has created a tool that maps the spread of infectious diseases. BlueDot’s AI software uses natural language processing to interpret global health outbreak reports, integrating this data with flight patterns, demographic statistics, and human verification processes to alert and monitor disease risks worldwide.

Further Reading:

MaRS helps entrepreneurs looking to scale solutions in climate tech, health and software. We offer targeted support through our Capital and Growth Acceleration programs. To learn more visit us at marsdd.com

  continue reading

20 episodes

Artwork
iconShare
 
Manage episode 380304713 series 3362245
Content provided by MaRS Discovery District. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MaRS Discovery District or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The next pandemic — it’s a question of when not if. Climate change is shifting the patterns of how and where diseases spread, and our insatiable love of travel means that viruses are now showing up in places they’ve never been before. Forecasting future outbreaks is becoming increasingly complex. But as infectious disease specialist Kamran Khan explains, this is where AI can help. Machine learning algorithms can detect patterns in data, model risk and project outcomes — and unlike humans they can work 24 hours a day. In this episode of Solve for X, host Manjula Selvarajah sits down with Khan to explore the connections between infectious disease and climate change — and how we can best harness the technology to help us prepare.

Featured in this episode:

  • Kamran Khan is an infectious disease physician and founder and CEO of BlueDot, a startup that has created a tool that maps the spread of infectious diseases. BlueDot’s AI software uses natural language processing to interpret global health outbreak reports, integrating this data with flight patterns, demographic statistics, and human verification processes to alert and monitor disease risks worldwide.

Further Reading:

MaRS helps entrepreneurs looking to scale solutions in climate tech, health and software. We offer targeted support through our Capital and Growth Acceleration programs. To learn more visit us at marsdd.com

  continue reading

20 episodes

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