{"id":209756,"date":"2026-02-04T00:06:00","date_gmt":"2026-02-04T05:06:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/02\/04\/penn-researchers-use-machine-learning-to-identify-tooth-decay-risk-factors\/"},"modified":"2026-02-04T00:12:29","modified_gmt":"2026-02-04T05:12:29","slug":"penn-researchers-use-machine-learning-to-identify-tooth-decay-risk-factors","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/02\/04\/penn-researchers-use-machine-learning-to-identify-tooth-decay-risk-factors\/","title":{"rendered":"Penn researchers use machine learning to identify tooth decay risk factors"},"content":{"rendered":"<p><a href=\"https:\/\/www.thedp.com\/article\/2026\/02\/penn-dental-tooth-decay-ai-machine-learning\">Penn researchers use machine learning to identify tooth decay risk factors<\/a><\/p>\n<p><a href=\"https:\/\/www.thedp.com\/article\/2026\/02\/penn-dental-tooth-decay-ai-machine-learning\">https:\/\/www.thedp.com\/article\/2026\/02\/penn-dental-tooth-decay-ai-machine-learning<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-02-04 00:06:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.thedp.com\">www.thedp.com<\/a><\/p>\n<p>Penn researchers at the School of Dental Medicine have developed an artificial intelligence-powered process that identifies risk factors associated with tooth decay.<\/p>\n<p>The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey. Orthodontics professor Michel Koo and Biostatistics and Epidemiology professor Jason Moore led the December 2025 study, which was published in the Journal of Dental Research.<\/p>\n<p>\u201cThis kind of machine-learning pipeline can turn complex national health data into clearer hypotheses and better predictive models\u2014starting with oral health, and potentially extending to other areas of medicine,\u201d Koo, the co-founding director of the Center for Innovation &#038; Precision Dentistry, wrote in a Dental School press release.<\/p>\n<p>Koo and Moore\u2019s work was supported by researchers from the Dental School, Penn Institute for Biomedical Informatics, the School of Nursing, and Cedars-Sinai Medical Center.<\/p>\n<p>The study, titled \u201cUncovering Dental Caries Heterogeneity in NHANES Using Machine Learning,\u201d allowed the team to detect previously unrecognized patterns linking dental health with systemic, nutritional, and environmental factors.<\/p>\n<p>NHANES surveys are conducted by the Centers for Disease Control and Prevention and contain data about Americans\u2019 health determinants. These datasets can be \u201csomewhat messy\u201d because of various \u201cnon-uniform\u201d aspects within a survey.<\/p>\n<p>The researchers organized the data into multiple subsets, including by age. They found that most signs of cavities occurred in children under 5 \u2014 who also showed a pattern of iron and vitamin D deficiencies \u2014\u00a0and in adults older than 65.\u00a0<\/p>\n<p>\u201cOur results point to the importance of age-targeted prevention and prediction\u2014especially for young children and older adults\u2014guided by real-world diet patterns, lab signals, environmental risk context, and potentially&#8230;<\/p>\n<p><a href=\"https:\/\/www.thedp.com\/article\/2026\/02\/penn-dental-tooth-decay-ai-machine-learning\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Penn researchers use machine learning to identify tooth decay risk factors https:\/\/www.thedp.com\/article\/2026\/02\/penn-dental-tooth-decay-ai-machine-learning Publish Date: 2026-02-04&#8230;<\/p>\n","protected":false},"author":1,"featured_media":209757,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/snworksceo.imgix.net\/dpn\/ca9cd77c-d19f-47ea-84ff-2e297f3604ac.sized-1000x1000.jpg?w=800&h=600","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-209756","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/209756"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=209756"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/209756\/revisions"}],"predecessor-version":[{"id":209758,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/209756\/revisions\/209758"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/209757"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=209756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=209756"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=209756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}