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Larry Smarr
Larry Smarr
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Quantified Health and Disease from Larry Smarr
Slide Presentations  |   February 6, 2014

Quantified Health and Disease

Calit2 Director Larry Smarr lecture to the Osher Lifelong Learning Institute as part of the Winter 2014 Qualcomm Institute lecture series for Osher. Date: Feb. 6, 2014
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Adding Consumer-Generated and Microbiome Data to the Electronic Medical Record from Larry Smarr
Slide Presentations  |   February 4, 2014

Adding Consumer-Generated and Microbiome Data to the Electronic Medical Record

Calit2 Director Larry Smarr presents to the Using Big Data to Advance Healthcare panel at the National Health Policy Conference (NHPC) in Washington, D.C.
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Slide Presentations, Video Presentations  |   January 22, 2014

The Human Microbiome and the Revolution in Digital Health

The human body is host to 100 trillion microorganisms, ten times the number of cells in the human body and these microbes contain 100 times the number of DNA genes that our human DNA does.
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Data ScienceMicrobiomeQuantified Self
The Quantified Self Movement: Technologies Revolutionizing Health and Fitness from Larry Smarr
Slide Presentations  |   January 15, 2014

The Quantified Self Movement: Technologies Revolutionizing Health and Fitness

Calit2 Director Larry Smarr talks to the MIT Enterprise Forum San Diego about the self-monitoring revolution and its impact on technologies for health and fitness. Date: Jan. 15, 2014
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Collective Genius – The Art and Practice of Leading Innovation
Print, Profiles  |   January 1, 2014

Collective Genius – The Art and Practice of Leading Innovation

Great leaders of innovation don’t fit the conventional mold of “good” leadership. They’re not visionaries who set direction and inspire others to follow. Instead, they create the context in which others are both willing and able to innovate. As one leader said, “My job is to set the stage, not to perform on it.”
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Calit2Collaborative InnovationInnovation Ecosystem
Brainlike Computers, Learning From Experience – New York Times
Print  |   December 28, 2013

Brainlike Computers, Learning From Experience – New York Times

Computers have entered the age when they are able to learn from their own mistakes, a development that is about to turn the digital world on its head.
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Distributed Systems
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