{"id":8109,"date":"2019-11-01T12:45:48","date_gmt":"2019-11-01T16:45:48","guid":{"rendered":"https:\/\/www.med.unc.edu\/tarc\/?p=8109"},"modified":"2019-11-05T10:41:00","modified_gmt":"2019-11-05T15:41:00","slug":"dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/tarc\/dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs\/","title":{"rendered":"Dr. Kelli Allen Receives a UNC Pilot Grant From NC TraCS to Use Machine Learning to ID Patient Groups Who May Benefit From &#8220;Traditional,&#8221; Vs. &#8220;Internet-based&#8221; Physical Therapy Programs"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-8110\" src=\"https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD-240x300.jpg\" alt=\"\" width=\"240\" height=\"300\" srcset=\"https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD-240x300.jpg 240w, https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD-768x960.jpg 768w, https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD-819x1024.jpg 819w, https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD-600x750.jpg 600w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/>Results of the study will help contribute to standardizing treatment for knee osteoarthritis.<\/p>\n<p>You can learn more about Dr. Allen&#8217;s project, as well as the North Carolina Translational and Clinical Sciences (NC TraCS) Institute and its &#8220;Program For Precision Medicine in Healthcare,&#8221; <a href=\"https:\/\/tracs.unc.edu\/index.php\/who-we-are\/announcements\/1100-unc-program-for-precision-medicine-in-health-care-announces-pilot-grant-awardees\">via this link<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Results of the study will help contribute to standardizing treatment for knee osteoarthritis.<\/p>\n","protected":false},"author":58060,"featured_media":8110,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"layout":"","cellInformation":"","apiCallInformation":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-8109","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","odd"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dr. Kelli Allen Receives a UNC Pilot Grant From NC TraCS to Use Machine Learning to ID Patient Groups Who May Benefit From &quot;Traditional,&quot; Vs. &quot;Internet-based&quot; Physical Therapy Programs | Thurston Arthritis Research Center<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.med.unc.edu\/tarc\/dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dr. Kelli Allen Receives a UNC Pilot Grant From NC TraCS to Use Machine Learning to ID Patient Groups Who May Benefit From &quot;Traditional,&quot; Vs. &quot;Internet-based&quot; Physical Therapy Programs | Thurston Arthritis Research Center\" \/>\n<meta property=\"og:description\" content=\"Results of the study will help contribute to standardizing treatment for knee osteoarthritis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.med.unc.edu\/tarc\/dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs\/\" \/>\n<meta property=\"og:site_name\" content=\"Thurston Arthritis Research Center\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/unctarc\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-01T16:45:48+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-11-05T15:41:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.med.unc.edu\/tarc\/wp-content\/uploads\/sites\/802\/2019\/11\/Kelli-Allen-PhD.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"3352\" \/>\n\t<meta property=\"og:image:height\" content=\"4190\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Bradd Pavur\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@UNCTARC\" \/>\n<meta name=\"twitter:site\" content=\"@UNCTARC\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Bradd Pavur\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.med.unc.edu\/tarc\/dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.med.unc.edu\/tarc\/dr-kelli-allen-receives-a-unc-pilot-grant-from-nc-tracs-to-use-machine-learning-to-id-patients-who-may-benefit-from-traditional-vs-internet-based-physical-therapy-programs\/\"},\"author\":{\"name\":\"Bradd Pavur\",\"@id\":\"https:\/\/www.med.unc.edu\/tarc\/#\/schema\/person\/6b9e44b7f1687f047ef8592213f6dbaf\"},\"headline\":\"Dr. Kelli Allen Receives a UNC Pilot Grant From NC TraCS to Use Machine Learning to ID Patient Groups Who May Benefit From &#8220;Traditional,&#8221; 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