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:

• My Prediction: We’re due for another global health emergency
• Over half of known human pathogenic diseases can be aggravated by climate change
• This AI will help us get ahead of the next pandemic
• From Gateways to Sentinels: How Airports Can Use Detection to Control Infection
• An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

Solve for X is brought to you by MaRS, North America’s largest urban innovation hub and a registered charity. MaRS supports startups and accelerates the adoption of high-impact solutions to some of the world’s biggest challenges. For more information, visit marsdd.com.