Blockchain and AI Underlie New Medical Data-Sharing Systems

 

Blockchain pic
Blockchain
Image: investopedia.com

With a focus on research and product development, Dr. Sanjiv M. Narayan’s areas of interest include signal processing, medical device technology, wearable devices and machine learning. Dr. Sanjiv M. Narayan founded a startup which was acquired by sale to Abbott Laboratories and presently serves as a professor of medicine at Stanford University.

Several studies from many groups are beginning to speak to machine learning in biometric signals. A recent article in Nature brought attention to the new use of the same blockchain technology that underlies the cryptocurrency Bitcoin for sharing medical data. Employing artificial intelligence (AI) algorithms, patients can share medical data in simple, secure, and user-friendly ways.

A system created at the University of California, San Francisco, was designed to collect the data from three to five million mammograms in this way and utilize it to train an AI algorithm in the detection of cancer. Blockchain is ideal because it is by design decentralized, anonymous, and secure, and it provides an unparalleled level of data-identity control.

Another blockchain-based project at Harvard University is creating a health-records-sharing system called MedRec, which will sync data from Fitbits and other wearable electronic devices. The massive quantities of data collected and analyzed, with patient permission, should enable optimal treatments to be developed.

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Machine Learning Has Potential to Improve Climate Predictions

 

Climate Predictions pic
Climate Predictions
Image: nature.com

Based in Southern California, Dr. Sanjiv M. Narayan leveraged a background in cardiology to create a novel atrial fibrillation care system that Abbott Laboratories ultimately acquired. Passionate about the potential of technologies to improve health and lives, Dr. Sanjiv Narayan has an interest in areas such as wearable devices, smart data and machine learning.

A recent Scientific American article brought focus to the potential uses of machine learning in enhancing the capacities of Earth-observing satellites to provide more actionable climate modeling from data collected. With climate science described as a “data problem,” George Washington University researchers have been working to create a high-resolution climate model capable of sifting through vast quantities of archived climate data.

The AI systems hold the potential to rank various models and better identify emerging climate patterns, thus spotting extreme weather events such as hurricanes as early as possible. Algorithm-tied deep-learning approaches already have been used in uncovering previously unrecognized climate patterns, such as air-pressure systems associated with El Niño over the Tasman Sea.

Apple Watch Sales Up 50 Percent over Last Year

 

Apple Watch pic
Apple Watch
Image: techcrunch.com

Dr. Sanjiv Narayan serves as a professor of medicine at Stanford University, where he is the co-founder and co-director of the Stanford Arrhythmia Center. In his personal life, Dr. Sanjiv M. Narayan maintains an interest in wearable technologies like the Apple Watch.

During an early August investor call, Apple CEO Tim Cook revealed that the company’s Apple Watch has seen sales rise more than 50 percent from last year’s figures. Creative Strategies analyst Ben Bajarin estimates the company’s flagship wearable sold somewhere between 2 to 3 million units.

Though the reason for the uptick in sales is uncertain, TechCrunch suggests two potential reasons. First is compatibility with the company’s wireless AirPod earbuds. The other possible reason is the general downturn in sales for other wearables from companies like Fitbit and Jawbone, the latter of which is poised to go out of business.

Apple is currently planning the release of watchOS 4, which will further integrate Siri and also promises “an entirely new music experience.” WatchOS 4 is scheduled for release sometime in the fall of 2017.