A machine learning survival kit for doctors

Or: how to estimate the age of your brain with MRI data and Artificial Intelligence

Simon Jégou
Sep 12, 2018 · 1 min read

A 30 to 60 minute crash course to understand artificial intelligence in practice… and its pitfalls.

Artificial Intelligence (AI) is on everyone’s lips today, and healthcare is one of the industries that raises the highest hopes regarding its potential benefits. Will AI eventually replace medical staff completely? Or will it allow practitioners to focus on more interesting, value-added tasks? No one knows what AI’s exact role and place in the care pathway will be.

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Owkin

Our mission at Owkin is to use ML to develop better drugs…

Owkin

Our mission at Owkin is to use ML to develop better drugs for patients. We empower researchers in hospitals and pharmas to: understand why drug efficacy varies from patient to patient, enhance drug development, and identify the best drug for the right patient to improve outcomes.

Simon Jégou

Written by

Data Scientist @ Owkin

Owkin

Our mission at Owkin is to use ML to develop better drugs for patients. We empower researchers in hospitals and pharmas to: understand why drug efficacy varies from patient to patient, enhance drug development, and identify the best drug for the right patient to improve outcomes.

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