{"id":13350,"date":"2024-07-09T18:26:52","date_gmt":"2024-07-09T18:26:52","guid":{"rendered":"https:\/\/dailyai.com\/?p=13350"},"modified":"2024-07-09T18:35:05","modified_gmt":"2024-07-09T18:35:05","slug":"ai-breakthrough-rapidly-identifies-drug-resistant-typhoid-without-antibiotic-exposure","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2024\/07\/ai-breakthrough-rapidly-identifies-drug-resistant-typhoid-without-antibiotic-exposure\/","title":{"rendered":"AI-genombrott identifierar snabbt l\u00e4kemedelsresistent tyfus utan exponering f\u00f6r antibiotika"},"content":{"rendered":"<p><strong>Forskare vid University of Cambridge har utnyttjat AI i kampen mot antibiotikaresistens.\u00a0<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Forskargruppen, som leds av professor Stephen Baker, skapade ett maskininl\u00e4rningsverktyg som endast anv\u00e4nder mikroskopibilder f\u00f6r att skilja mellan bakterier som \u00e4r resistenta mot ciprofloxacin (ett vanligt antibiotikum) och de som \u00e4r k\u00e4nsliga f\u00f6r det.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Detta kan dramatiskt minska den tid som kr\u00e4vs f\u00f6r att diagnostisera antibiotikaresistens, vilket potentiellt kan f\u00f6r\u00e4ndra hur vi behandlar farliga infektioner som tyfoidfeber.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den <\/span><a href=\"https:\/\/www.nature.com\/articles\/s41467-024-49433-4\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">studie<\/span><\/a><span style=\"font-weight: 400;\">som publicerades i Nature Communications, fokuserade p\u00e5 Salmonella Typhimurium, en bakterie som orsakar allvarlig mag-tarmsjukdom och kan leda till livshotande invasiv sjukdom.\u00a0<\/span><\/p>\n<figure id=\"attachment_13351\" aria-describedby=\"caption-attachment-13351\" style=\"width: 885px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13351 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web.jpg\" alt=\"AI\" width=\"885\" height=\"432\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web.jpg 885w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web-300x146.jpg 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web-768x375.jpg 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web-18x9.jpg 18w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/salmonellaniaid-web-60x29.jpg 60w\" sizes=\"auto, (max-width: 885px) 100vw, 885px\" \/><figcaption id=\"caption-attachment-13351\" class=\"wp-caption-text\">Salmonella \u00e4r en bakterie som ofta smittar m\u00e4nniskor genom f\u00f6rorenad mat, och vissa stammar har blivit antibiotikaresistenta. K\u00e4llan \u00e4r: <a href=\"https:\/\/www.cam.ac.uk\/research\/news\/ai-able-to-identify-drug-resistant-typhoid-like-infection-from-microscopy-images-in-matter-of-hours\" target=\"_blank\" rel=\"noopener\">Universitetet i Cambridge<\/a>.<\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Dr. Tuan-Anh Tran, en av de viktigaste forskarna i projektet, f\u00f6rklarade tillv\u00e4gag\u00e5ngss\u00e4ttet i en <\/span><a href=\"https:\/\/www.cam.ac.uk\/research\/news\/ai-able-to-identify-drug-resistant-typhoid-like-infection-from-microscopy-images-in-matter-of-hours\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Blogginl\u00e4gg<\/span><\/a><span style=\"font-weight: 400;\">: \"Det fina med maskininl\u00e4rningsmodellen \u00e4r att den kan identifiera resistenta bakterier baserat p\u00e5 n\u00e5gra f\u00e5 subtila egenskaper i mikroskopibilder som m\u00e4nskliga \u00f6gon inte kan uppt\u00e4cka.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Forskningsprocessen omfattade flera viktiga steg:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>F\u00f6rberedelse av bakterieprov<\/strong>: Teamet odlade S. Typhimurium-prover i flytande n\u00e4ringsmedier, varav vissa exponerades f\u00f6r olika koncentrationer av ciprofloxacin och andra inte.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Bildbehandling med h\u00f6gt inneh\u00e5ll<\/strong>: Med hj\u00e4lp av ett sofistikerat mikroskop tog forskarna detaljerade bilder av bakterierna vid flera tidpunkter.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Bildanalys<\/strong>: Specialiserad programvara extraherade 65 olika egenskaper fr\u00e5n varje bakteriecell, inklusive form, storlek och interaktion med fluorescerande f\u00e4rg\u00e4mnen.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Utveckling av modeller f\u00f6r maskininl\u00e4rning<\/strong>: Forskarna matade in dessa data i olika maskininl\u00e4rningsalgoritmer och tr\u00e4nade dem att k\u00e4nna igen m\u00f6nster som \u00e4r f\u00f6rknippade med antibiotikaresistens.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Urval av funktioner<\/strong>: Teamet identifierade de mest avg\u00f6rande egenskaperna f\u00f6r att skilja mellan resistenta och mottagliga bakterier.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Resultaten av denna process var imponerande. AI-systemet identifierade antibiotikaresistenta bakterier korrekt cirka 87% av tiden.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Kanske viktigast av allt var att forskarna fann att resistenta och k\u00e4nsliga bakterier hade distinkta visuella m\u00f6nster som AI:n kunde uppt\u00e4cka, \u00e4ven om de inte hade utsatts f\u00f6r antibiotika.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Detta tyder p\u00e5 att antibiotikaresistens f\u00f6r\u00e4ndrar bakteriernas utseende p\u00e5 ett s\u00e4tt som \u00e4r f\u00f6r subtilt f\u00f6r m\u00e4nniskor att se, men som AI kan uppt\u00e4cka.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nuvarande metoder kr\u00e4ver vanligtvis flera dagars bakterieodling och testning mot olika antimikrobiella medel. Den nya AI-baserade metoden skulle d\u00e4remot potentiellt kunna ge resultat inom n\u00e5gra timmar.\u00a0<\/span><\/p>\n<p>Snabbare diagnoser g\u00f6r det m\u00f6jligt f\u00f6r l\u00e4kare att skriva ut den mest effektiva antibiotikan tidigare, vilket potentiellt kan f\u00f6rb\u00e4ttra patientresultaten och minska spridningen av resistenta bakterier.<\/p>\n<p><span style=\"font-weight: 400;\">Fram\u00f6ver siktar forskargruppen p\u00e5 att utvidga sin metod till mer komplexa kliniska prover som blod eller urin och testa dem p\u00e5 andra typer av bakterier och antibiotika. De arbetar ocks\u00e5 med att g\u00f6ra tekniken mer tillg\u00e4nglig f\u00f6r sjukhus och kliniker \u00f6ver hela v\u00e4rlden.<\/span><\/p>\n<p>Som professor Baker f\u00f6rklarar: \"Det som verkligen skulle vara viktigt, s\u00e4rskilt i kliniska sammanhang, vore att kunna ta ett komplext prov - till exempel blod, urin eller sputum - och identifiera k\u00e4nslighet och resistens direkt fr\u00e5n det.\"<\/p>\n<p><span style=\"font-weight: 400;\">\"Det \u00e4r ett mycket mer komplicerat problem som egentligen inte har l\u00f6sts alls, inte ens inom klinisk diagnostik p\u00e5 ett sjukhus. Om vi kunde hitta ett s\u00e4tt att g\u00f6ra detta skulle vi kunna minska den tid det tar att identifiera l\u00e4kemedelsresistens och till en mycket l\u00e4gre kostnad. Det skulle verkligen kunna bli en omv\u00e4lvande f\u00f6r\u00e4ndring.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dr. Sushmita Sridhar sammanfattade effekterna och sa: \"Med tanke p\u00e5 att denna metod anv\u00e4nder avbildning med uppl\u00f6sning p\u00e5 en enda cell \u00e4r det \u00e4nnu inte en l\u00f6sning som l\u00e4tt kan anv\u00e4ndas \u00f6verallt. Men det \u00e4r verkligen lovande att vi genom att f\u00e5nga upp bara n\u00e5gra f\u00e5 parametrar om bakteriernas form och struktur kan f\u00e5 tillr\u00e4ckligt med information f\u00f6r att relativt enkelt kunna f\u00f6ruts\u00e4ga l\u00e4kemedelsresistens.\"<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Antibiotikaresistens forts\u00e4tter att utg\u00f6ra ett allt st\u00f6rre globalt hot mot h\u00e4lsan, och innovativa metoder som denna AI-drivna bildteknik ger nytt hopp.\u00a0<\/span><\/p>\n<p class=\"whitespace-pre-wrap break-words\">Detta \u00e4r en del av en bredare trend med AI-drivna innovationer inom antibiotikaforskning. Vid MIT har forskare anv\u00e4nt djupinl\u00e4rningsmodeller f\u00f6r att uppt\u00e4cka en <a href=\"https:\/\/dailyai.com\/sv\/2023\/12\/mit-researchers-identify-new-class-of-antibiotics-using-ai\/\">helt ny klass av antibiotika<\/a>.<\/p>\n<p class=\"whitespace-pre-wrap break-words\">P\u00e5 liknande s\u00e4tt meddelade ett annat forskarlag i maj f\u00f6rra \u00e5ret att de hade anv\u00e4nt AI f\u00f6r att <a href=\"https:\/\/dailyai.com\/sv\/2023\/05\/ai-helps-researchers-discover-a-new-antibiotic-for-treating-drug-resistant-bacteria\/\">identifiera ett nytt antibiotikum<\/a> effektiva mot l\u00e4kemedelsresistenta bakterier.<\/p>\n<p class=\"whitespace-pre-wrap break-words\"><span style=\"font-weight: 400;\">AI m\u00f6jligg\u00f6r snabbare och mer exakt identifiering av l\u00e4kemedelsresistenta infektioner, vilket banar v\u00e4g f\u00f6r effektivare behandlingar och b\u00e4ttre patientresultat.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De n\u00e4rmaste \u00e5ren kommer att vara avg\u00f6rande n\u00e4r teamet arbetar med att \u00f6verf\u00f6ra sina laboratorieframg\u00e5ngar till kliniska till\u00e4mpningar i den verkliga v\u00e4rlden.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Forskare vid University of Cambridge har utnyttjat AI i kampen mot antibiotikaresistens.  Forskargruppen, som leds av professor Stephen Baker, skapade ett maskininl\u00e4rningsverktyg som endast anv\u00e4nder mikroskopibilder f\u00f6r att skilja mellan bakterier som \u00e4r resistenta mot ciprofloxacin (ett vanligt antibiotikum) och de som \u00e4r mottagliga f\u00f6r det. Detta kan dramatiskt minska den tid som kr\u00e4vs f\u00f6r att diagnostisera antibiotikaresistens, vilket potentiellt kan f\u00f6r\u00e4ndra hur vi behandlar farliga infektioner som tyfoidfeber. Studien, som publicerades i Nature Communications, fokuserade p\u00e5 Salmonella Typhimurium, en bakterie som orsakar allvarlig mag-tarmsjukdom och kan leda till livshotande invasiv sjukdom.  Dr Tuan-Anh Tran, en av nyckelforskarna i studien<\/p>","protected":false},"author":2,"featured_media":13352,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[353,105],"class_list":["post-13350","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biology","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI breakthrough rapidly identifies drug-resistant typhoid without antibiotic exposure | DailyAI<\/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:\/\/dailyai.com\/sv\/2024\/07\/ai-breakthrough-rapidly-identifies-drug-resistant-typhoid-without-antibiotic-exposure\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI breakthrough rapidly identifies drug-resistant typhoid without antibiotic exposure | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at the University of Cambridge have harnessed AI in the fight against antibiotic resistance.\u00a0 The research team, led by Professor Stephen Baker, created a machine learning tool using only microscopy images to distinguish between bacteria resistant to ciprofloxacin (a common antibiotic) and those susceptible to it. This could dramatically reduce the time required for diagnosing antibiotic resistance, potentially transforming how we treat dangerous infections like typhoid fever. The study, published in Nature Communications, focused on Salmonella Typhimurium, a bacterium that causes severe gastrointestinal illness and can lead to life-threatening invasive disease.\u00a0 Dr. Tuan-Anh Tran, a key researcher on the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/sv\/2024\/07\/ai-breakthrough-rapidly-identifies-drug-resistant-typhoid-without-antibiotic-exposure\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-09T18:26:52+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-09T18:35:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/DALL\u00b7E-2024-07-09-19.25.37-A-high-tech-nightcore-themed-image-focusing-on-Salmonella-bacteria.-The-bacteria-should-be-prominently-displayed-with-a-background-infused-with-red.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta 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Jeans\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"sv-SE\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a24a4a8f8e2a1a275b7491dc9c9f032c401eabf23c3206da4628dc84b6dac5c8?s=96&d=robohash&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a24a4a8f8e2a1a275b7491dc9c9f032c401eabf23c3206da4628dc84b6dac5c8?s=96&d=robohash&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/a24a4a8f8e2a1a275b7491dc9c9f032c401eabf23c3206da4628dc84b6dac5c8?s=96&d=robohash&r=g\",\"caption\":\"Sam Jeans\"},\"description\":\"Sam is a science and technology writer who has worked in various AI startups. 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