{"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\/da\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/","title":{"rendered":"Forskere fremskynder s\u00f8gningen efter Parkinson-behandlinger ved hj\u00e6lp af AI"},"content":{"rendered":"

Forskere ved University of Cambridge har udnyttet kunstig intelligens til dramatisk at fremskynde s\u00f8gningen efter nye behandlingsformer for Parkinsons sygdom.\u00a0<\/b><\/p>\n

Ved at bruge maskinl\u00e6ringsteknikker var de i stand til at screene millioner af potentielle l\u00e6gemiddelforbindelser og identificere de mest lovende kandidater ti gange hurtigere og 1000 gange mere omkostningseffektivt end konventionelle metoder.<\/span><\/p>\n

Parkinsons sygdom er en kompleks, progressiv neurodegenerativ sygdom, som rammer ca. 6 millioner mennesker p\u00e5 verdensplan. Det tal forventes at blive tredoblet inden 2040. <\/span><\/p>\n

I \u00f8jeblikket er der ingen behandlinger, der med sikkerhed kan bremse eller standse sygdommens udvikling.\u00a0<\/span><\/p>\n

Den traditionelle proces med at screene store kemiske biblioteker for at finde potentielle l\u00e6gemiddelkandidater er ekstremt langsom, dyr og ofte mislykket.<\/span><\/p>\n

\"En m\u00e5de at s\u00f8ge efter potentielle behandlinger for Parkinsons kr\u00e6ver identifikation af sm\u00e5 molekyler, der kan h\u00e6mme aggregeringen af alfa-synuclein, som er et protein, der er t\u00e6t forbundet med sygdommen,\" siger ledende forsker professor Michele Vendruscolo. <\/span>fortalte University of Cambridge.<\/span><\/a><\/p>\n

\"Men det er en ekstremt tidskr\u00e6vende proces - bare det at identificere en hovedkandidat til yderligere testning kan tage m\u00e5neder eller endda \u00e5r.\"<\/span><\/p>\n

For at tackle denne udfordring udviklede Vendruscolo og hans team en 5-trins maskinl\u00e6ringsmetode. Den <\/span>unders\u00f8gelse<\/span><\/a> blev udgivet i Naturens kemiske biologi<\/em>.\u00a0<\/span><\/p>\n

    \n
  1. Start med et lille s\u00e6t forbindelser, der er identificeret via simuleringer, og som viser potentiale til at blokere sammenklumpning af alfa-synuclein-proteinet, som er den prim\u00e6re \u00e5rsag til Parkinsons sygdom. Test derefter deres effektivitet eksperimentelt.<\/span><\/li>\n
  2. Brug resultaterne til at tr\u00e6ne en maskinl\u00e6ringsmodel til at forudsige, hvilke molekyl\u00e6re strukturer og egenskaber der g\u00f8r et stof effektivt til at forhindre proteinaggregering.<\/span><\/li>\n
  3. Brug den tr\u00e6nede model til hurtigt at screene et virtuelt bibliotek, der indeholder millioner af stoffer, og forudsig de mest potente kandidater.<\/span><\/li>\n
  4. Valider de bedste AI-udvalgte kandidater eksperimentelt i laboratoriet. F\u00f8r disse resultater tilbage til modellen for at forfine dens forudsigelsesevne yderligere.<\/span><\/li>\n
  5. Gentag denne cyklus af beregningsm\u00e6ssig forudsigelse og eksperimentel afpr\u00f8vning, hvor AI-modellen bliver klogere for hver runde og finder frem til de mest kraftfulde forbindelser.<\/span><\/li>\n<\/ol>\n
    \"AI
    University of Cambridges iterative system til opdagelse af l\u00e6gemidler mod Parkinsons sygdom. Kilde: Naturens kemiske biologi<\/a> (\u00e5ben adgang)<\/figcaption><\/figure>\n

    Over flere iterationer steg optimeringsgraden - den procentdel af de testede stoffer, der h\u00e6mmede alfa-synuclein-klumpning i forbindelse med Parkinsons - fra 4% til over 20%.\u00a0<\/span><\/p>\n

    Desuden var de forbindelser, som AI fandt, i gennemsnit langt mere potente end nogen, der tidligere var identificeret. Nogle viste lovende aktivitet ved otte gange lavere doser. De var ogs\u00e5 mere kemisk forskellige, idet modellen opdagede effektive forbindelser, der adskilte sig fra kendte strukturer.<\/span><\/p>\n

    \"Maskinl\u00e6ring har en reel indflydelse p\u00e5 opdagelsen af l\u00e6gemidler - det fremskynder hele processen med at identificere de mest lovende kandidater\", siger Vendruscolo. <\/span><\/p>\n

    \"Ved at bruge den viden, vi fik fra den f\u00f8rste screening med vores maskinl\u00e6ringsmodel, kunne vi tr\u00e6ne modellen til at identificere de specifikke regioner p\u00e5 disse sm\u00e5 molekyler, der er ansvarlige for bindingen, s\u00e5 vi kan screene igen og finde mere potente molekyler.\"<\/span><\/p>\n

    \"For os betyder det, at vi kan begynde at arbejde p\u00e5 flere l\u00e6gemiddelforskningsprogrammer - i stedet for kun \u00e9t. S\u00e5 meget er muligt p\u00e5 grund af den massive reduktion i b\u00e5de tid og omkostninger - det er en sp\u00e6ndende tid.\"<\/span><\/p>\n

    Forskerne understreger, at dette kun er begyndelsen p\u00e5, hvad AI-first-tilgange kan muligg\u00f8re inden for l\u00e6gemiddelopdagelse til Parkinsons og andre sygdomme, der er kendetegnet ved proteinfejlfoldning og -aggregering.\u00a0<\/span><\/p>\n

    Med yderligere udvikling og st\u00f8rre tr\u00e6ningsdatas\u00e6t b\u00f8r disse modellers forudsigelsesevne kun blive bedre.<\/span><\/p>\n

    Selv om der stadig er lang vej til at g\u00f8re disse AI-identificerede kandidater til godkendte behandlinger, viser denne unders\u00f8gelse, hvordan maskinl\u00e6ring, smart kombineret med eksperimentel biologi, i h\u00f8j grad kan fremskynde de tidlige stadier af l\u00e6gemiddelopdagelse.<\/span><\/p>\n

    Dette bygger p\u00e5 en lang r\u00e6kke unders\u00f8gelser, der tager fat p\u00e5 udfordringen med at finde nye, nye l\u00e6gemiddelbehandlinger, herunder <\/span>fra MIT og Tufts<\/span><\/a>som for nylig byggede en model, der er i stand til at gennemg\u00e5 omkring 100 millioner forbindelser dagligt. <\/span><\/p>\n

    Flere af dem <\/span>Modeller til opdagelse af antibiotika<\/span><\/a> har produceret eksperimentelle forbindelser, hvoraf nogle er p\u00e5 vej til kliniske fors\u00f8g<\/a>.<\/span><\/p>\n

    En anden <\/span>Storstilet projekt<\/span><\/a> i samarbejde med Moorfields Eye Hospital i Storbritannien fra sidste \u00e5r brugte \u00f8jenscanninger til at identificere de tidlige tegn p\u00e5 Parkinsons - en ny metode, der er muliggjort af AI.\u00a0<\/span><\/p>\n

    Med denne nye unders\u00f8gelse, der har til form\u00e5l at finde effektive behandlinger af Parkinsons sygdom, viser AI-metoder et stort potentiale for at omdefinere medicin og sundhedspleje.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere ved University of Cambridge har udnyttet kunstig intelligens til dramatisk at fremskynde s\u00f8gningen efter nye behandlingsformer for Parkinsons sygdom. Ved at bruge maskinl\u00e6ringsteknikker var de i stand til at screene millioner af potentielle l\u00e6gemiddelforbindelser og identificere de mest lovende kandidater ti gange hurtigere og 1000 gange mere omkostningseffektivt end konventionelle metoder. Parkinsons sygdom er en kompleks, progressiv neurodegenerativ sygdom, som rammer ca. 6 millioner mennesker p\u00e5 verdensplan. Det tal forventes at blive tredoblet inden 2040. I \u00f8jeblikket er der ingen behandlinger, der p\u00e5 p\u00e5lidelig vis kan bremse eller standse sygdommens udvikling. Den traditionelle proces med at screene store kemiske biblioteker for at finde potentielle l\u00e6gemiddelkandidater er ekstremt vanskelig.<\/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\/da\/2024\/04\/scientists-accelerate-search-for-parkinsons-treatments-using-ai\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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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