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Sep 3, 2020

Tom Lawry Talks of Machine Learning and Microsoft AI For Good in Healthcare

Posted by in categories: biotech/medical, life extension, robotics/AI

Deploying “AI for Good” In The Life Sciences — Tom Lawry, National Director for Artificial Intelligence, Health & Life Sciences, Microsoft, joins me on ideaXme to discuss how they are deploying artificial intelligence “at scale”, across the major organizations responsible for delivery quality, next generation healthcare to millions of patients and customers — #Ideaxme #Microsoft #ArtificialIntelligence #MachineLearning #DeepLearning #Health #Healthcare #Wellness #Medicine #Pharmacy #Hospitals #Nursing #Insurance #Diagnostics #Data #Moonshots #Biotechnology #Longevity #LifeExtension #Aging #IraPastor #Bioquark #Regenerage


Ira Pastor, ideaXme life sciences ambassador, interviews Tom Lawry, National Director for Artificial Intelligence — Health & Life Sciences at Microsoft.

Ira Pastor Comments:

A set of tools that we have been hearing quite a bit about (and discussed a bit on the show) in recent years is the triad of artificial intelligence, machine learning, and deep learning and their respective applications (primarily in the drug discovery and development processes), in terms how university labs and startups are using some of these tools to better guide the rational drug design process, or more appropriately select patients for a clinical trial, per the field of personalized medicine.

Today we are going to go to the far end of the spectrum, to a view of the potential of these tools at “scale”, when they need to be deployed across the mega enterprises responsible for delivery quality, next generation healthcare to millions of customers.

Tom Lawry:

Tom Lawry is National Director for Artificial Intelligence — Health & Life Sciences at Microsoft. In this role he serves as a strategic advisor to provider, payer and life science organizations across the Americas, creating enterprise-wide AI initiatives designed to transform healthcare at scale.

He focuses on technological, process and cultural redesign leading to the creation of Intelligent Health Systems that better empower patients, consumers and clinicians.

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