{"id":171936,"date":"2015-01-05T15:46:17","date_gmt":"2015-01-05T20:46:17","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/health-workers-see-promise-in-software-to-tackle-drug-resistant-bacteria.php"},"modified":"2015-01-05T15:46:17","modified_gmt":"2015-01-05T20:46:17","slug":"health-workers-see-promise-in-software-to-tackle-drug-resistant-bacteria","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/genetic-medicine\/health-workers-see-promise-in-software-to-tackle-drug-resistant-bacteria.php","title":{"rendered":"Health Workers See Promise in Software to Tackle Drug-Resistant Bacteria"},"content":{"rendered":"<p><p>TIME Health Infectious  Disease      Health Workers See Promise in Software to Tackle Drug-Resistant    Bacteria  Getty  Images      New software may predict genetic changes in bacteria before    they occur    <\/p>\n<p>    Researchers have developed a new software that predicts changes    in bacteria that can make them drug-resistant.  <\/p>\n<p>    Drug resistance happens when disease-causing bacteria adapts to    antibiotics and becomes less responsive to treatment.    Antibiotic-resistant bacteria cause at least 2 million infections and 23,000    deaths in the United States each year, but because the bacteria    are constantly reproducing, its hard to determine what changes    and mutations will occur.  <\/p>\n<p>    Concern about drug resistance has caused doctors to prescribe    bacteria-killing drugs more sparingly.  <\/p>\n<p>    Now a team of researchers at Duke University may have alighted    on a solution. In a recently published study in the journal Proceedings of the    National Academy of Sciences, the researchers software,    OSPREY, was able to predict the most likely mutations to come    out of certain bacteria.  <\/p>\n<p>    Researchers were able to then test treatment with drugs that    are still in the experimental phase. Identifying the most    likely mutations while drugs are still under development, the    team believes, means the medicine is better positioned for    success when it hits the market.  <\/p>\n<p>    If we can somehow predict how bacteria might respond to a    particular drug ahead of time, we can change the drug, or plan    for the next one, or rule out therapies that are unlikely to    remain effective for long, said study co-author Pablo    Gainza-Cirauqui in a statement.  <\/p>\n<p>    The scientists looked specifically at a common drug-resistant    bacteria called methicillin-resistant Staphylococcus aureus, or    MRSAa common cause of infections in health care settings like    hospitals. They used their software to successfully predict    that genetic changes that would occur in the bacteria when    treated with drugs.  <\/p>\n<p>    The researchers are now testing their software on other    bacteria, but have made the software open for use by any    researcher. The hope is that with time and practice the    software algorithm will be able to predict genetic changes more    than one mutation ahead.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See the rest here:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/time.com\/3653464\/software-antibiotic-resistance-research\" title=\"Health Workers See Promise in Software to Tackle Drug-Resistant Bacteria\">Health Workers See Promise in Software to Tackle Drug-Resistant Bacteria<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> TIME Health Infectious Disease Health Workers See Promise in Software to Tackle Drug-Resistant Bacteria Getty Images New software may predict genetic changes in bacteria before they occur Researchers have developed a new software that predicts changes in bacteria that can make them drug-resistant. Drug resistance happens when disease-causing bacteria adapts to antibiotics and becomes less responsive to treatment.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/genetic-medicine\/health-workers-see-promise-in-software-to-tackle-drug-resistant-bacteria.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":[5],"tags":[],"class_list":["post-171936","post","type-post","status-publish","format-standard","hentry","category-genetic-medicine"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/171936"}],"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=171936"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/171936\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=171936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=171936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=171936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}