{"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\/nb\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/","title":{"rendered":"Forskere fremskynder jakten p\u00e5 behandling av Parkinsons sykdom ved hjelp av kunstig intelligens"},"content":{"rendered":"

Forskere ved University of Cambridge har utnyttet kunstig intelligens til \u00e5 akselerere jakten p\u00e5 nye behandlingsformer for Parkinsons sykdom dramatisk.\u00a0<\/b><\/p>\n

Ved hjelp av maskinl\u00e6ringsteknikker kunne de screene millioner av potensielle legemiddelforbindelser og identifisere de mest lovende kandidatene ti ganger raskere og 1000 ganger mer kostnadseffektivt enn med konvensjonelle metoder.<\/span><\/p>\n

Parkinsons sykdom er en kompleks, progressiv nevrodegenerativ sykdom som rammer rundt 6 millioner mennesker p\u00e5 verdensbasis. Dette tallet forventes \u00e5 tredobles innen 2040. <\/span><\/p>\n

Forel\u00f8pig finnes det ingen behandling som p\u00e5 en p\u00e5litelig m\u00e5te kan bremse eller stanse sykdomsutviklingen.\u00a0<\/span><\/p>\n

Den tradisjonelle prosessen med \u00e5 screene store kjemiske biblioteker for \u00e5 finne potensielle legemiddelkandidater er ekstremt langsom, kostbar og ofte mislykket.<\/span><\/p>\n

\"En m\u00e5te \u00e5 finne potensielle behandlinger for Parkinsons sykdom p\u00e5, er \u00e5 identifisere sm\u00e5 molekyler som kan hemme aggregeringen av alfa-synuklein, som er et protein som er n\u00e6rt forbundet med sykdommen\", sier professor Michele Vendruscolo, som er hovedforsker p\u00e5 prosjektet. <\/span>fortalte University of Cambridge.<\/span><\/a><\/p>\n

\"Men dette er en ekstremt tidkrevende prosess - bare det \u00e5 identifisere en hovedkandidat for videre testing kan ta m\u00e5neder eller til og med \u00e5r.\"<\/span><\/p>\n

For \u00e5 takle denne utfordringen utviklet Vendruscolo og teamet hans en 5-trinns maskinl\u00e6ringsmetode. Den <\/span>studie<\/span><\/a> ble publisert i Nature Chemical Biology<\/em>.\u00a0<\/span><\/p>\n

    \n
  1. Start med et lite sett av forbindelser, identifisert via simuleringer, som viser potensial til \u00e5 blokkere sammenklumping av alfa-synuklein-proteinet, som er den prim\u00e6re \u00e5rsaken til Parkinsons sykdom. Deretter tester du effekten av dem eksperimentelt.<\/span><\/li>\n
  2. Bruk resultatene til \u00e5 trene opp en maskinl\u00e6ringsmodell for \u00e5 forutsi hvilke molekyl\u00e6re strukturer og egenskaper som gj\u00f8r et stoff effektivt til \u00e5 forhindre proteinaggregering.<\/span><\/li>\n
  3. Bruk den oppl\u00e6rte modellen til raskt \u00e5 screene et virtuelt bibliotek med millioner av stoffer og forutsi de mest potente kandidatene.<\/span><\/li>\n
  4. Valider de beste kandidatene som er valgt ut av AI, eksperimentelt i laboratoriet. Mata disse resultatene tilbake til modellen for \u00e5 forbedre prediksjonsegenskapene ytterligere.<\/span><\/li>\n
  5. Gjenta denne syklusen med beregningsprediksjon og eksperimentell testing, der AI-modellen blir smartere for hver runde og finner frem til de kraftigste forbindelsene.<\/span><\/li>\n<\/ol>\n
    \"AI
    University of Cambridges iterative system for oppdagelse av legemidler mot Parkinsons sykdom. Kilde: Nature Chemical Biology<\/a> (\u00e5pen tilgang)<\/figcaption><\/figure>\n

    Over flere iterasjoner \u00f8kte optimaliseringsraten - prosentandelen av de testede forbindelsene som hemmet alfa-synuklein-klumping forbundet med Parkinsons sykdom - fra 4% til over 20%.\u00a0<\/span><\/p>\n

    Dessuten var forbindelsene som AI fant, i gjennomsnitt langt mer potente enn noen tidligere identifiserte forbindelser. Noen viste lovende aktivitet ved \u00e5tte ganger lavere doser. De var ogs\u00e5 mer kjemisk varierte, og modellen oppdaget effektive forbindelser som skilte seg fra kjente strukturer.<\/span><\/p>\n

    \"Maskinl\u00e6ring har en reell innvirkning p\u00e5 oppdagelsen av legemidler - det gj\u00f8r hele prosessen med \u00e5 identifisere de mest lovende kandidatene raskere\", sier Vendruscolo. <\/span><\/p>\n

    \"Ved \u00e5 bruke kunnskapen vi fikk fra den f\u00f8rste screeningen sammen med maskinl\u00e6ringsmodellen v\u00e5r, kunne vi trene modellen til \u00e5 identifisere de spesifikke omr\u00e5dene p\u00e5 disse sm\u00e5 molekylene som er ansvarlige for bindingen, slik at vi kan screene p\u00e5 nytt og finne mer potente molekyler.\"<\/span><\/p>\n

    \"For oss betyr dette at vi kan starte arbeidet med flere legemiddelutviklingsprogrammer - i stedet for bare ett. Det er s\u00e5 mye som er mulig p\u00e5 grunn av den enorme reduksjonen i b\u00e5de tid og kostnader - det er en spennende tid.\"<\/span><\/p>\n

    Forskerne understreker at dette bare er begynnelsen p\u00e5 hva AI-f\u00f8rst-tiln\u00e6rminger kan muliggj\u00f8re i oppdagelsen av legemidler mot Parkinsons sykdom og andre sykdommer som kjennetegnes av feilfolding og aggregering av proteiner.\u00a0<\/span><\/p>\n

    Med videre utvikling og st\u00f8rre treningsdatasett b\u00f8r disse modellenes prediksjonsevne bare bli bedre.<\/span><\/p>\n

    Selv om det fortsatt er en lang vei \u00e5 g\u00e5 f\u00f8r disse AI-identifiserte kandidatene blir til godkjente behandlinger, viser denne studien hvordan maskinl\u00e6ring, smart kombinert med eksperimentell biologi, i stor grad kan akselerere de tidlige stadiene av legemiddeloppdagelse.<\/span><\/p>\n

    Dette bygger p\u00e5 en rekke forskningsresultater som tar for seg utfordringen med \u00e5 finne nye, innovative medikamentelle behandlinger, blant annet <\/span>fra MIT og Tufts<\/span><\/a>som nylig har bygget en modell som kan g\u00e5 gjennom rundt 100 millioner forbindelser daglig. <\/span><\/p>\n

    Flere <\/span>modeller for oppdagelse av antibiotika<\/span><\/a> har produsert eksperimentelle forbindelser, hvorav noen er p\u00e5 vei til kliniske studier<\/a>.<\/span><\/p>\n

    En annen <\/span>storstilt prosjekt<\/span><\/a> i samarbeid med Moorfields Eye Hospital i Storbritannia fra i fjor brukte \u00f8yeskanninger til \u00e5 identifisere tidlige tegn p\u00e5 Parkinsons sykdom - en ny metode som muliggj\u00f8res av kunstig intelligens.\u00a0<\/span><\/p>\n

    Med denne nye studien, som tar sikte p\u00e5 \u00e5 finne effektive behandlinger for Parkinsons sykdom, viser AI-metoder at de kan bidra til \u00e5 omdefinere medisin og helsetjenester.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere ved University of Cambridge har utnyttet kunstig intelligens til \u00e5 akselerere jakten p\u00e5 nye behandlingsformer for Parkinsons sykdom dramatisk. Ved hjelp av maskinl\u00e6ringsteknikker kunne de screene millioner av potensielle legemidler og identifisere de mest lovende kandidatene ti ganger raskere og 1000 ganger mer kostnadseffektivt enn ved bruk av konvensjonelle metoder. Parkinsons sykdom er en kompleks, progressiv nevrodegenerativ sykdom som rammer rundt 6 millioner mennesker p\u00e5 verdensbasis. Dette tallet forventes \u00e5 tredobles innen 2040. Forel\u00f8pig finnes det ingen behandling som p\u00e5 en p\u00e5litelig m\u00e5te kan bremse eller stanse sykdomsutviklingen. Den tradisjonelle prosessen med \u00e5 screene enorme kjemiske biblioteker for \u00e5 finne potensielle legemiddelkandidater er ekstremt<\/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\/nb\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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. 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