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Refocusing Market Access for Difficult to diagnose diseases

Posted by Volv Global on Jun 26, 2019 12:09:51 PM

By Christopher Rudolf, Founder and CEO at Volv Global

 

Redefining your strategy using machine learning with Volv inTrigue

In this series of conversations with Volv leaders, I have been talking with Dr Mike Tremblay, Volv’s Chief Scientific and Medical Officer, about what differentiates the company in terms of value delivery into markets for our customers. I hope that this is of interest to those of you working with difficult to diagnose diseases and rare diseases in your daily activities.

 

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Topics: AI, Medicine, MedTech

Where can big tech companies make the biggest impact on healthcare? Ask Dr. Toby Cosgrove

Posted by Intelligent Health on Jun 21, 2019 2:14:35 PM

Where can big tech companies make the biggest impact on healthcare?

 

That’s what Dr. Toby Cosgrove, Executive Advisor to Google Cloud and Former President & CEO of the Cleveland Clinic will be answering at Intelligent Health 2019 in Switzerland this September.

 

Cosgrove, who currently serves as an Executive Adviser to the Cleveland Clinic, is helping Google Cloud to achieve what is known in healthcare circles as the ‘quadruple aim’, an effort to improve patient experience, boost population health and reduce the cost of healthcare while also creating a better work experience for clinicians and staff.

 
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Topics: AI, HealthTech

How to estimate the age of your brain with MRI data - A practical guide for applying machine learning in healthcare

Posted by Simon Jégou, Data Scientist @ Owkin on Jun 12, 2019 1:00:09 PM

Healthcare is an industry that raises the highest hopes regarding the potential benefits of Artificial Intelligence (AI). Physicians and medical researchers will not become programmers or data scientists overnight, nor will they be replaced by them, but they will need an understanding of what AI actually is and how it works. Similarly, data scientists will need to collaborate closely with doctors to focus on relevant medical questions and understand patients behind the data.


 
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Topics: AI, Medical, HealthTech