{"id":7672,"date":"2024-10-17T20:04:08","date_gmt":"2024-10-17T20:04:08","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=7672"},"modified":"2024-10-17T20:04:37","modified_gmt":"2024-10-17T20:04:37","slug":"university-of-zurich-scientists-use-ai-to-detect-antibiotic-resistance","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/university-of-zurich-scientists-use-ai-to-detect-antibiotic-resistance\/","title":{"rendered":"University of Zurich Scientists Use AI to Detect Antibiotic Resistance"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Scientists at the University of Zurich have harnessed artificial intelligence to help detect antibiotic-resistant bacteria more quickly and accurately. This breakthrough could revolutionize how hospitals and laboratories worldwide tackle the escalating threat of antibiotic resistance.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>In a breakthrough that could significantly advance global health care, researchers at the University of Zurich (UZH) have leveraged artificial intelligence (AI) to accelerate the detection of antibiotic-resistant bacteria. This pioneering effort is led by Adrian Egli, a UZH professor at the Institute of Medical Microbiology, and utilizes the powerful GPT-4 AI model developed by OpenAI.<\/p>\n\n\n\n<p>The researchers employed AI to interpret the Kirby-Bauer disk diffusion test, a standard laboratory procedure used to identify which antibiotics are effective against specific bacterial infections. Their innovative tool, named &#8220;EUCAST-GPT-expert,&#8221; adheres to the strict guidelines established by the European Committee on Antimicrobial Susceptibility Testing (EUCAST).<\/p>\n\n\n\n<p>&#8220;Antibiotic resistance is a growing threat worldwide, and we urgently need faster, more reliable tools to detect it,&#8221; Egli said in a <a href=\"https:\/\/www.news.uzh.ch\/en\/articles\/media\/2024\/Antibiotika.html\" title=\"\">news release<\/a>. &#8220;Our research is the first step toward using AI in routine diagnostics to help doctors identify resistant bacteria more quickly.&#8221;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Globally, antibiotic resistance poses a severe threat as pathogens evolve to withstand currently available treatments, making infections harder to treat and increasing the risk of disease spread, severe illness and death. <\/p>\n\n\n\n<p>Traditional methods of detecting resistance can be slow and subjective, often relying on the expertise and interpretation of highly trained technicians. While human experts continue to offer a higher accuracy rate, AI could significantly speed up the diagnostic process.<\/p>\n\n\n\n<p>The study acknowledges some limitations. The AI system, though adept at detecting certain resistance types, occasionally misclassified bacteria, potentially delaying treatment. <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Despite these hurdles, the research underscores the transformative potential of AI in health care. By offering a standardized approach to complex diagnostic interpretations, this technology may reduce the variability and subjectivity seen in manual readings, thus improving patient outcomes.<\/p>\n\n\n\n<p>Egli, however, emphasizes caution and the need for further refinement. <\/p>\n\n\n\n<p>&#8220;Our study is an important first step, but we are far from replacing human expertise. Instead, we see AI as a complementary tool that can support microbiologists in their work,&#8221; he added.<\/p>\n\n\n\n<p>While more testing and improvements are essential, the introduction of AI into the realm of antibiotic resistance detection heralds a new era in medical diagnostics. This landmark research could lead to faster, more accurate detection of drug-resistant bacteria, transforming global health care practices and preserving the efficacy of existing antibiotics.<\/p>\n\n\n\n<p>The study is <a href=\"https:\/\/journals.asm.org\/doi\/10.1128\/jcm.00689-24\" title=\"\">published<\/a> in the Journal of Clinical Microbiology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a breakthrough that could significantly advance global health care, researchers at the University of Zurich (UZH) have leveraged artificial intelligence (AI) to accelerate the detection of antibiotic-resistant bacteria. This pioneering effort is led by Adrian Egli, a UZH professor at the Institute of Medical Microbiology, and utilizes the powerful GPT-4 AI model developed by [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-7672","post","type-post","status-publish","format-standard","hentry","category-ai"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"In a breakthrough that could significantly advance global health care, researchers at the University of Zurich (UZH) have leveraged artificial intelligence (AI) to accelerate the detection of antibiotic-resistant bacteria. This pioneering effort is led by Adrian Egli, a UZH professor at the Institute of Medical Microbiology, and utilizes the powerful GPT-4 AI model developed by&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/7672","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=7672"}],"version-history":[{"count":7,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/7672\/revisions"}],"predecessor-version":[{"id":7702,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/7672\/revisions\/7702"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=7672"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=7672"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=7672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}