It’s easy to find skepticism or hype when it comes to artificial intelligence, but it’s hard to get real facts and trends that matter for business leaders. That’s exactly what Daniel Faggella, founder of Emerj, an AI market research company, does each week on the AI in Business podcast.
This week’s guest is our very own Alexandre Le Bouthillier, Co-Founder of Imagia, where he discusses personalized medicine before and after artificial intelligence. He also brings to bear his perspectives on how personalized medicine might come to be, cutting through some of the buzzword hype surrounding the term.
“You want to remove and quantify the bias in the data, in the labeling technique, and in the model that you are creating and you have to think about the ecosystem. And it has to be allocentric. So – the hospital, the clinician, the Pharma and medical device companies; all have to have a buy-in into that.
This is why we think that by deploying our technology in multiple hospitals and as well enabling Pharma to use it on their own data or a mix of data, while preserving privacy and generating models that can be tested on live data, is very powerful.”
Don’t be on the wrong end of disruption – hear straight from AI’s best and brightest. Listen below:
Publications Oct 15, 2021
A technical 20-page report for next-generation data governance models. Authors: Francis Dutil, Alexandre See, Lisa Di Jorio and Florent Chan...
Blog Oct 13, 2021
Health research necessitates access to vast quantities of medical data and personal health information (PHI). From a patient perspective, pr...
Blog Sep 8, 2021
Personalized medicine is touted as the holy grail of patient care. By supercharging decision support so that the right treatments are prescr...
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