Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

What’s Up, Doc?: AI Startup Gives Patients the Power

AI, when applied to healthcare, holds the promise of better medical predictions and faster medicinal improvements. To do so, it needs data on which to train. But healthcare data is sensitive and private, creating a dead end.

Or not. Walter De Brouwer, CEO of Silicon Valley startup doc.ai, joined AI Podcast host Noah Kravitz to discuss how his medical research-based platform makes the application of deep learning to healthcare possible.

Many consumers worry about the outcome of putting their data in the cloud, where it risks being pirated. And larger institutions like hospitals that have an abundance of healthcare data are reticent to share it because it could reveal other sensitive business information.

Doc.ai first collects everything it needs from the device and user input. It takes into account data from Apple Health, blood tests, urine analysis, and any other medical information uploaded by the client.

The platform has eight prediction models, which exist locally on the client’s device. Each module has a specific focus, from the general medical record, to urine sampling, to phenomics.

These models transform the data into tensors — what De Brouwer calls “a big pile of numbers.” They’re then uploaded to the cloud with no risk of being pirated, because without the model that produced them, they’re like “GPS coordinates on planet Jupiter – you can’t do anything with it.”

From there, doc.ai can use these tensors to improve its deep learning algorithms and improve medical predictions.

Doc.ai also provides a platform to run medical trials. Clients and doctors can create their own, or take part in the three that De Brouwer has already organized. The first is organized in collaboration with advisors from Harvard Medical School, and focuses on allergy triggers. Another, studying the various combinations of the 26 medicines designed to treat epilepsy, was designed alongside Stanford specialists.

De Brouwer is no stranger to entrepreneurship. He’s the cofounder of several AI-based companies, including Inui Health, which performs urine analysis using machine learning and mobile phones, and XY.ai, a spinoff of Harvard Medical School that uses AI for large-scale digital twin technology.

De Brouwer is certain that doc.ai has found the ideal approach for improving healthcare knowledge. “This is Darwinism,” he says. “First you collect, then you predict, and then you change the bad things and amplify the good things. These three steps are basically the evolution algorithm of the planet.”

To learn more about doc.ai, visit their website here. Or visit their blog for weekly stories, as well as Github commands and Jupyter notebooks.

Help Make the AI Podcast Better

Have a few minutes to spare? Fill out this short listener survey. Your answers will help us make a better podcast.

How to Tune in to the AI Podcast

Get the AI Podcast through iTunesCastbox, DoggCatcher, OvercastPlayerFMPodbayPodBean, Pocket Casts, PodCruncher, PodKicker, Stitcher, Soundcloud and TuneIn. Your favorite not listed here? Email us at aipodcast [at] nvidia [dot] com.

 

The post What’s Up, Doc?: AI Startup Gives Patients the Power appeared first on The Official NVIDIA Blog.

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.