Big Data Meets Cancer: Neil Hunt at TEDxBeaconStreet

Targeted drug therapies are showing promise in combatting cancer, but classical clinical trials are poorly suited to matching them to the thousands of variations of cancer caused by different DNA mutations. Big data techniques offer a way to analyze data pooled across many patients: their specific disease mutations, biological markers, the treatments, and outcomes -- in order to identify unexpected ways that existing therapies can be applied and combined to create personalized treatments that dramatically improve the chances of survival.
Neil Hunt has spent the past decade as Chief Product Officer at Netflix, and among other things, developing big data techniques to crowdsource movie and TV recommendations using billions of viewing records from millions of customers.
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

[@tbrown55]

Make cancer a video game and then tell the AI to learn how to beat the video game.

[@zhiyiding5466]

I can feel he is nervous... But a good speech

[@markfellows9774]

Hope

[@AsimMalik-gc3uq]

This is God’s work

[@hammads9045]

How can oncologists find the variant DNA? I understand, that analyzing DNA via blood-work may be one way, but are there others? What are they? Can you use saliva or semen?

[@simerpreetkaur6500]

Hammad S By comparative genomics