{"id":11639,"date":"2024-04-17T11:21:32","date_gmt":"2024-04-17T11:21:32","guid":{"rendered":"https:\/\/dailyai.com\/?p=11639"},"modified":"2024-04-17T12:42:25","modified_gmt":"2024-04-17T12:42:25","slug":"scientists-accelerate-search-for-parkinsons-treatments-using-ai","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/","title":{"rendered":"Forskare p\u00e5skyndar s\u00f6kandet efter behandlingar mot Parkinsons sjukdom med hj\u00e4lp av AI"},"content":{"rendered":"

Forskare vid University of Cambridge har utnyttjat AI f\u00f6r att dramatiskt p\u00e5skynda s\u00f6kandet efter nya behandlingar f\u00f6r Parkinsons sjukdom.\u00a0<\/b><\/p>\n

Genom att anv\u00e4nda maskininl\u00e4rningstekniker kunde de screena miljontals potentiella l\u00e4kemedelssubstanser och identifiera de mest lovande kandidaterna tio g\u00e5nger snabbare och 1000 g\u00e5nger mer kostnadseffektivt \u00e4n med konventionella metoder.<\/span><\/p>\n

Parkinsons sjukdom \u00e4r en komplex, progressiv neurodegenerativ sjukdom som drabbar cirka 6 miljoner m\u00e4nniskor i v\u00e4rlden. Denna siffra f\u00f6rv\u00e4ntas tredubblas fram till 2040. <\/span><\/p>\n

F\u00f6r n\u00e4rvarande finns det inga behandlingar som p\u00e5 ett tillf\u00f6rlitligt s\u00e4tt kan bromsa eller stoppa sjukdomsf\u00f6rloppet.\u00a0<\/span><\/p>\n

Den traditionella processen med screening av stora kemiska bibliotek f\u00f6r att hitta potentiella l\u00e4kemedelskandidater \u00e4r extremt l\u00e5ngsam, dyr och ofta misslyckad.<\/span><\/p>\n

\"En v\u00e4g att s\u00f6ka efter potentiella behandlingar f\u00f6r Parkinsons sjukdom kr\u00e4ver identifiering av sm\u00e5 molekyler som kan h\u00e4mma aggregeringen av alfa-synuklein, som \u00e4r ett protein som \u00e4r n\u00e4ra f\u00f6rknippat med sjukdomen\", s\u00e4ger den ledande forskaren professor Michele Vendruscolo <\/span>ber\u00e4ttade f\u00f6r University of Cambridge.<\/span><\/a><\/p>\n

\"Men det h\u00e4r \u00e4r en extremt tidskr\u00e4vande process - bara att identifiera en huvudkandidat f\u00f6r vidare tester kan ta m\u00e5nader eller till och med \u00e5r.\"<\/span><\/p>\n

F\u00f6r att ta itu med denna utmaning utvecklade Vendruscolo och hans team en maskininl\u00e4rningsmetod i 5 steg. Den <\/span>studie<\/span><\/a> publicerades i Naturkemisk biologi<\/em>.\u00a0<\/span><\/p>\n

    \n
  1. B\u00f6rja med en liten upps\u00e4ttning f\u00f6reningar, identifierade via simuleringar, som visar potential att blockera klumpbildning av proteinet alfa-synuklein, som \u00e4r den fr\u00e4msta orsaken till Parkinsons sjukdom. Testa sedan deras effektivitet experimentellt.<\/span><\/li>\n
  2. Anv\u00e4nd resultaten f\u00f6r att tr\u00e4na en maskininl\u00e4rningsmodell f\u00f6r att f\u00f6ruts\u00e4ga vilka molekyl\u00e4ra strukturer och egenskaper som g\u00f6r en f\u00f6rening effektiv n\u00e4r det g\u00e4ller att f\u00f6rhindra proteinaggregering.<\/span><\/li>\n
  3. Anv\u00e4nd den utbildade modellen f\u00f6r att snabbt screena ett virtuellt bibliotek med miljontals substanser och f\u00f6rutse de mest potenta utmanarna.<\/span><\/li>\n
  4. Validera de b\u00e4sta AI-utvalda kandidaterna experimentellt i labbet. \u00c5terf\u00f6r dessa resultat till modellen f\u00f6r att f\u00f6rfina dess prediktionsf\u00f6rm\u00e5ga ytterligare.<\/span><\/li>\n
  5. Upprepa denna cykel av ber\u00e4kningsf\u00f6ruts\u00e4gelser och experimentella tester, d\u00e4r AI-modellen blir smartare f\u00f6r varje omg\u00e5ng och siktar in sig p\u00e5 de mest kraftfulla f\u00f6reningarna.<\/span><\/li>\n<\/ol>\n
    \"AI
    University of Cambridges iterativa system f\u00f6r uppt\u00e4ckt av l\u00e4kemedel mot Parkinsons sjukdom. K\u00e4lla: University of Cambridge Naturkemisk biologi<\/a> (\u00f6ppen tillg\u00e5ng)<\/figcaption><\/figure>\n

    Under flera iterationer \u00f6kade optimeringsgraden - procentandelen av de testade substanserna som h\u00e4mmade klumpbildning av alfa-synuklein i samband med Parkinsons sjukdom - fr\u00e5n 4% till \u00f6ver 20%.\u00a0<\/span><\/p>\n

    Dessutom var de substanser som AI hittade i genomsnitt mycket mer potenta \u00e4n de substanser som tidigare identifierats. Vissa uppvisade lovande aktivitet vid \u00e5tta g\u00e5nger l\u00e4gre doser. De var ocks\u00e5 mer kemiskt diversifierade, och modellen uppt\u00e4ckte effektiva f\u00f6reningar som skilde sig fr\u00e5n k\u00e4nda strukturer.<\/span><\/p>\n

    \"Maskininl\u00e4rning har en verklig inverkan p\u00e5 l\u00e4kemedelsuppt\u00e4ckten - det snabbar upp hela processen med att identifiera de mest lovande kandidaterna\", s\u00e4ger Vendruscolo. <\/span><\/p>\n

    \"Genom att anv\u00e4nda den kunskap vi fick fr\u00e5n den inledande screeningen med v\u00e5r maskininl\u00e4rningsmodell kunde vi tr\u00e4na modellen att identifiera de specifika regioner p\u00e5 dessa sm\u00e5 molekyler som \u00e4r ansvariga f\u00f6r bindningen, s\u00e5 att vi kan g\u00f6ra en ny screening och hitta mer potenta molekyler.\"<\/span><\/p>\n

    \"F\u00f6r oss inneb\u00e4r det att vi kan b\u00f6rja arbeta med flera program f\u00f6r l\u00e4kemedelsutveckling - ist\u00e4llet f\u00f6r bara ett. S\u00e5 mycket \u00e4r m\u00f6jligt tack vare den enorma minskningen av b\u00e5de tid och kostnader - det \u00e4r en sp\u00e4nnande tid.\"<\/span><\/p>\n

    Forskarna betonar att detta bara \u00e4r b\u00f6rjan p\u00e5 vad AI-metoder kan m\u00f6jligg\u00f6ra inom l\u00e4kemedelsutveckling f\u00f6r Parkinsons sjukdom och andra sjukdomar som k\u00e4nnetecknas av felveckning och aggregering av proteiner.\u00a0<\/span><\/p>\n

    Med ytterligare utveckling och st\u00f6rre tr\u00e4ningsdataset b\u00f6r dessa modellers prediktiva f\u00f6rm\u00e5ga bara f\u00f6rb\u00e4ttras.<\/span><\/p>\n

    \u00c4ven om det fortfarande \u00e4r en l\u00e5ng v\u00e4g kvar innan dessa AI-identifierade kandidater blir godk\u00e4nda behandlingar, visar denna studie hur maskininl\u00e4rning, smart kombinerad med experimentell biologi, kan p\u00e5skynda de tidiga stadierna av l\u00e4kemedelsuppt\u00e4ckt.<\/span><\/p>\n

    Detta bygger p\u00e5 en rad forskningsresultat som tar sig an utmaningen att hitta nya, innovativa l\u00e4kemedelsbehandlingar, bland annat <\/span>fr\u00e5n MIT och Tufts<\/span><\/a>som nyligen byggt en modell som kan g\u00e5 igenom 100 miljoner f\u00f6reningar varje dag. <\/span><\/p>\n

    Flera <\/span>modeller f\u00f6r uppt\u00e4ckt av antibiotika<\/span><\/a> har producerat experimentella f\u00f6reningar, av vilka n\u00e5gra \u00e4r p\u00e5 v\u00e4g till kliniska pr\u00f6vningar<\/a>.<\/span><\/p>\n

    En annan <\/span>storskaligt projekt<\/span><\/a> i samarbete med Moorfields Eye Hospital i Storbritannien, anv\u00e4nde f\u00f6rra \u00e5ret \u00f6gonskanningar f\u00f6r att identifiera tidiga tecken p\u00e5 Parkinsons sjukdom - en ny metod som m\u00f6jligg\u00f6rs av AI.\u00a0<\/span><\/p>\n

    Med denna nya studie, som syftar till att uppt\u00e4cka effektiva behandlingar av Parkinsons sjukdom, visar AI-metoder ett stort l\u00f6fte om att omdefiniera medicin och sjukv\u00e5rd.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskare vid University of Cambridge har utnyttjat AI f\u00f6r att dramatiskt p\u00e5skynda s\u00f6kandet efter nya behandlingar mot Parkinsons sjukdom. Genom att anv\u00e4nda maskininl\u00e4rningstekniker kunde de screena miljontals potentiella l\u00e4kemedelssubstanser och identifiera de mest lovande kandidaterna tio g\u00e5nger snabbare och 1000 g\u00e5nger mer kostnadseffektivt \u00e4n med konventionella metoder. Parkinsons sjukdom \u00e4r en komplex, progressiv neurodegenerativ sjukdom som drabbar cirka 6 miljoner m\u00e4nniskor i v\u00e4rlden. Denna siffra f\u00f6rv\u00e4ntas tredubblas fram till 2040. F\u00f6r n\u00e4rvarande finns det inga behandlingar som p\u00e5 ett tillf\u00f6rlitligt s\u00e4tt kan bromsa eller stoppa sjukdomsf\u00f6rloppet. Den traditionella processen med screening av stora kemiska bibliotek f\u00f6r att hitta potentiella l\u00e4kemedelskandidater \u00e4r extremt<\/p>","protected":false},"author":2,"featured_media":11641,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[204,178],"class_list":["post-11639","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-healthcare","tag-medicine"],"yoast_head":"\nScientists accelerate the search for Parkinson's treatments using AI | 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\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Scientists accelerate the search for Parkinson's treatments using AI | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at the University of Cambridge have harnessed AI to dramatically accelerate the search for new Parkinson’s disease therapies.\u00a0 By using machine learning techniques, they were able to screen millions of potential drug compounds and identify the most promising candidates ten times faster and 1000 times more cost-effectively than conventional methods. Parkinson’s disease is a complex, progressive neurodegenerative disease that afflicts approximately 6 million people worldwide. That figure is expected to triple by 2040. Currently, no treatments can reliably slow or halt the disease’s progression.\u00a0 The traditional process of screening vast chemical libraries to find potential drug candidates is extremely\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/sv\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-17T11:21:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-17T12:42:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/04\/DALL\u00b7E-2024-04-17-12.16.35-A-modern-high-tech-laboratory-specifically-focused-on-Parkinsons-disease-research-but-without-any-people.-The-scene-includes-sleek-futuristic-devi.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta 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