Ideas worth spreading

How blockchain and AI can help us decipher medicine's big data

14,675 views | Gunjan Bhardwaj • TED@Merck KGaA, Darmstadt, Germany

When diagnosed with a disease, it's often overwhelming to sort through mountains of medical data to figure out what therapies are available, pinpoint where they're offered and identify the best experts to help. Complexity specialist Gunjan Bhardwaj recognizes that mining this information may best be done using a system of artificial intelligence and blockchain to help people, within and outside the medical field, navigate and comprehend such "deep, dense and diverse" data — entering a new era where all research is searchable and shareable.

When diagnosed with a disease, it's often overwhelming to sort through mountains of medical data to figure out what therapies are available, pinpoint where they're offered and identify the best experts to help. Complexity specialist Gunjan Bhardwaj recognizes that mining this information may best be done using a system of artificial intelligence and blockchain to help people, within and outside the medical field, navigate and comprehend such "deep, dense and diverse" data — entering a new era where all research is searchable and shareable.

About the speaker

Gunjan Bhardwaj

Gunjan Bhardwaj

Complexity specialist

Gunjan Bhardwaj studied at IIT Bombay, FH Pforzheim, MIT Sloan and EBS Oestrich-Winkel. He founded Innoplexus in 2011, a technology and product development company focused on solving challenges in life sciences and pharmaceuticals using artificial intelligence. Previously, he worked for BCG and EY. He has authored numerous articles for the Harvard Business Review, the MIT Sloan Review and other journals, and has advised businesses and nonprofit organizations. He lectures at the Frankfurt School of Finance and other schools.

About TED Institute

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