disease prediction

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Machine Learning 101: The Healthcare Opportunities Are Endless

Bill Siwicki | Healthcare IT News | March 30, 2017

To understand how machine learning can aid healthcare organizations, healthcare executives first must have a basic grasp of what machine learning is and what it can do. “Machine learning is about discovering new knowledge,” said Zeeshan Syed, director of the clinical inference and algorithms program at Stanford Health Care and clinical associate professor, anesthesiology, perioperative and pain medicine, at the Stanford University School of Medicine. “At a high level, artificial intelligence is getting an agent, software, to behave like it’s smart..."

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NIH Big Data Effort Focuses On Better Knowledge From Existing Data

Susan D.Hall | Fierce Health IT | May 12, 2014

Big data is transforming biomedical research, National Institutes of Health director Francis S. Collins writes in a blog post announcing an initiative called Big Data to Knowledge (BD2K).  To illustrate his point, Collins points to the work of Atul Butte of Stanford University, a NIH-funded researcher looking among mountains of existing data to find new links among genes, diseases and traits.

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Why the Healthcare Industry Is Hacking Graphics Technology to Power Machine Intelligence

Raja Koduri | Computer Business Review | May 5, 2017

Artificial intelligence has attracted significant attention recently, and yet many of the most popular examples we’ve seen demonstrating its potential benefits have been esoteric proof-of-concepts, such as mastering chess or finding cat videos on the internet. While these developments have helped pave the way for further breakthroughs, they’ve also left many people asking where the tangible benefits are and what the era of machine intelligence really means to the real world...

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