{"id":230963,"date":"2017-07-29T04:51:24","date_gmt":"2017-07-29T08:51:24","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/zuckerberg-chan-give-ucsf-10-million-for-health-data-research-san-francisco-chronicle.php"},"modified":"2017-07-29T04:51:24","modified_gmt":"2017-07-29T08:51:24","slug":"zuckerberg-chan-give-ucsf-10-million-for-health-data-research-san-francisco-chronicle","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/molecular-medicine\/zuckerberg-chan-give-ucsf-10-million-for-health-data-research-san-francisco-chronicle.php","title":{"rendered":"Zuckerberg, Chan give UCSF $10 million for health data research &#8211; San Francisco Chronicle"},"content":{"rendered":"<p><p>  Facebook CEO Mark Zuckerberg and his wife, Dr. Priscilla Chan,  will contribute $10 million to UCSF to help fund an effort to  merge data on 15 million patients across five UC medical campuses  into one database.<\/p>\n<p>    The investment highlights the interest from investors and    researchers in applying artificial intelligence to health data.    The goal is to detect patterns in disease development and to    allow doctors to better develop treatment plans for patients.  <\/p>\n<p>    In oncology, for instance, computers could mine patient data to    try to predict whether women diagnosed with ovarian cancer who    stop responding to one type of drug may be more likely to    respond to another type of treatment, based on previous cases.  <\/p>\n<p>    The $10 million contribution is separate from the commitment by    the couples limited liability company, the Chan Zuckerberg    Initiative, to invest $3 billion over the next decade to cure    disease.  <\/p>\n<p>    It will go toward UCSFs Institute of Computational Health    Sciences. In addition to merging data from health records, it    will be used to hire faculty members for the institute over the    next five years, said Dr. Atul Butte, the institutes director.  <\/p>\n<p>    Big data and machine learning is hot in medicine right now,    Butte said. If you want machine learning to work, you need to    see many, many cases before you can learn the patterns.  <\/p>\n<p>    The soon-to-be-merged data is from electronic health records    that are housed separately at UCSF, UCLA, UC Irvine, UC San    Diego and UC Davis, dating back between five and nine years,    Butte said.  <\/p>\n<p>    While UCSF would have access to identifiable patient    information, such as names, patient privacy laws require    researchers to get authorization from patients, or approval    from UCSFs Institutional Review Board, before accessing any    identifiable data.  <\/p>\n<p>    Artificial intelligence in health and drug development is a    booming area. Emerging companies like Londons Benevolent AI,    San Brunos Numerate and Menlo Parks NuMedii  co-founded by    Butte  have attracted hundreds of millions of dollars from    investors over the last several years.  <\/p>\n<p>    Alphabets health subsidiary Verily, formerly Google Life    Sciences, recently launched a study to track health information    from 10,000 people. IBMs Watson Health uses algorithms to sift    through patient records and research papers from medical    journals to help doctors diagnose and treat diseases. Amazon    has assembled a team to build tools for electronic health    records data,     CNBC reported this week.  <\/p>\n<p>    The major tech titans are moving into this space at full    tilt, said Dr. Eric Topol, a professor of molecular medicine    at the Scripps Research Institute. They realize this has    unparalleled growth potential.  <\/p>\n<p>    Artificial intelligence in medicine is taking off because until    recently there wasnt enough data to draw meaningful    conclusions, experts said. But improvements in genomic    sequencing and medical monitoring technology are quickly    changing that. Every persons genomic sequence alone generates    billions of data points. Add that to the data collected by    wearable devices  such as monitoring tools that track glucose    levels, blood pressure, heart rhythm and other measures and    researchers have a rich pool of health information to parse.  <\/p>\n<p>    Thats why this is a particularly exciting era in medicine,    Topol said. Its really about having enormous data sets, not    just a one-off, but on a continuous basis.  <\/p>\n<p>    The challenge, though, is cutting through the noise in ways    that will enable physicians to zero in on individualized    screening, treatment and prevention plans for patients.  <\/p>\n<p>    Just having all this data is not so important, Topol said.    Its processing it, working with it to change the future of    medicine. Artificial intelligence could result in this    promise of true prevention or far better treatments.  <\/p>\n<p>    Catherine Ho is a San Francisco Chronicle staff writer.    Email: <a href=\"mailto:cho@sfchronicle.com\">cho@sfchronicle.com<\/a> Twitter:    @Cat_Ho  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See the rest here: <\/p>\n<p><a target=\"_blank\" href=\"http:\/\/www.sfchronicle.com\/business\/article\/Zuckerberg-Chan-give-UCSF-10-million-for-health-11534088.php\" title=\"Zuckerberg, Chan give UCSF $10 million for health data research - San Francisco Chronicle\">Zuckerberg, Chan give UCSF $10 million for health data research - San Francisco Chronicle<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Facebook CEO Mark Zuckerberg and his wife, Dr. Priscilla Chan, will contribute $10 million to UCSF to help fund an effort to merge data on 15 million patients across five UC medical campuses into one database. The investment highlights the interest from investors and researchers in applying artificial intelligence to health data.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/molecular-medicine\/zuckerberg-chan-give-ucsf-10-million-for-health-data-research-san-francisco-chronicle.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-230963","post","type-post","status-publish","format-standard","hentry","category-molecular-medicine"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/230963"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=230963"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/230963\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=230963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=230963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=230963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}