New machine-learning method predicts body clock timing to improve sleep and health decisions

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Description

A new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

The research, which has been conducted by the University of Surrey and the University of Groningen, used a machine learning program to analyze metabolites in blood to predict the time of our internal circadian timing system. The study is published in the journal Proceedings of the National Academy of Sciences.

Periode24-apr.-2023 → 27-jun.-2023

Media-aandacht

14

Media-aandacht

  • TitelInteligența Artificială va putea determina momentul ideal pentru a mânca și a te odihni
    Mate van erkenningInternational
    Media naam/outletediția de dimineață
    MediatypeWeb
    Land/RegioRomania
    Release datum27/06/2023
    BeschrijvingCreșterea și bunăstarea Europei depind foarte mult de modul în care vom utiliza datele și tehnologiile conectate. IA ne poate schimba radical viața, în bine sau în rău

    O nouă tehnologie de ultimă generație care utilizează o formă de inteligență artificială (IA) este capabilă să estimeze ceasul intern al organismului. Cercetătorii din Marea Britanie spun că această descoperire ar putea deschide calea către planuri personalizate de somn și de masă.
    Producent / auteurDeak Istvan
    URLhttps://editiadedimineata.ro/inteligenta-artificiala-va-putea-determina-momentul-ideal-pentru-a-manca-si-a-te-odihni/
    PersonenRoelof Hut, Tom Woelders
  • TitelDeterminación de los ritmos circadianos
    Mate van erkenningInternational
    Media naam/outletEl Médico Interactivo
    MediatypeWeb
    Land/RegioSpain
    Release datum28/04/2023
    BeschrijvingUn método de aprendizaje automático sobre la sincronización del reloj corporal mejora las decisiones sobre la salud
    URLhttps://elmedicointeractivo.com/determinacion-de-los-ritmos-circadianos/
    PersonenRoelof Hut, Tom Woelders
  • TitelUne nouvelle méthode d’apprentissage automatique prédit la synchronisation de l’horloge biologique pour améliorer les décisions en matière de sommeil et de santé
    Mate van erkenningInternational
    Media naam/outletCrumpe
    MediatypeWeb
    Land/RegioFrance
    Release datum26/04/2023
    BeschrijvingUne nouvelle méthode d’apprentissage automatique pourrait nous aider à mesurer l’heure de notre horloge interne, nous aidant ainsi à prendre de meilleures décisions en matière de santé, y compris quand et combien de temps dormir.

    La recherche, qui a été menée par l’Université de Surrey et l’Université de Groningue, a utilisé un programme d’apprentissage automatique pour analyser les métabolites dans le sang afin de prédire l’heure de notre système de synchronisation circadien interne.
    URLhttps://www.crumpe.com/2023/04/une-nouvelle-methode-dapprentissage-automatique-predit-la-synchronisation-de-lhorloge-biologique-pour-ameliorer-les-decisions-en-matiere-de-sommeil-et-de-sante/
    PersonenRoelof Hut, Tom Woelders
  • TitelMachine learning and metabolite analysis can predict individual body clock timing
    Mate van erkenningInternational
    Media naam/outletInside Precision Medicine
    MediatypeWeb
    Land/RegioUnited States
    Release datum25/04/2023
    BeschrijvingResearch carried out by the University of Surrey and the University of Groningen shows combining machine learning and metabolite analysis can help predict a person’s individual circadian body clock and assess what healthy sleep patterns are for that person.
    URLhttps://www.insideprecisionmedicine.com/topics/patient-care/sleeping-disorders/machine-learning-and-metabolite-analysis-can-predict-individual-body-clock-timing/
    PersonenRoelof Hut, Tom Woelders
  • TitelNew machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletNews Azi
    MediatypeWeb
    Land/RegioIndia
    Release datum25/04/2023
    BeschrijvingA new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

    The research, which has been conducted by the University of Surrey and the University of Groningen, used a machine learning programme to analyse metabolites in blood to predict the time of our internal circadian timing system.
    Producent / auteurJason Junior
    URLhttps://newsazi.com/new-machine-learning-method-predicts-body-clock-timing-to-improve-sleep-and-health-decisions/
    PersonenRoelof Hut, Tom Woelders
  • TitelNew machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletScienceDaily
    MediatypeWeb
    Land/RegioUnited States
    Release datum25/04/2023
    BeschrijvingA new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.
    Producent / auteurUniversity of Surrey
    URLhttps://www.sciencedaily.com/releases/2023/04/230424162854.htm
    PersonenRoelof Hut, Tom Woelders
  • TitelBody clock problems? New machine learning may improve sleep
    Mate van erkenningInternational
    Media naam/outletTech Times
    MediatypeWeb
    Land/RegioUnited States
    Release datum25/04/2023
    BeschrijvingDo you struggle with body clock problems and getting a good night's sleep? Well, fear not because researchers from the University of Surrey and the University of Groningen may have found a solution that could help you get your sleep schedule back on track. Machine learning may be key to improving your body clock.
    Producent / auteurJace Dela Cruz
    URLhttps://www.techtimes.com/articles/290770/20230425/body-clock-problems-new-machine-learning-improve-sleep.htm
    PersonenRoelof Hut, Tom Woelders
  • TitelSleep better, live better: Machine learning can predict your internal clock
    Mate van erkenningInternational
    Media naam/outletNewsBeezer
    MediatypeWeb
    Land/RegioUnited Kingdom
    Release datum25/04/2023
    BeschrijvingNew machine learning method predicts the internal clock, helping to improve sleep and health. The technology offers personalized sleep and meal plans that are tailored to our personal biology, thereby reducing the risk of illness. The approach uses blood samples to predict circadian timing and provides an easy way to estimate our own circadian rhythm.
    Producent / auteurUniversity of Surrey
    URLhttps://newsbeezer.com/uk/sleep-better-live-better-machine-learning-can-predict-your-internal-clock/
    PersonenRoelof Hut, Tom Woelders
  • TitelUniversity of Surrey: New machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletTargeted News Service
    MediatypePrint
    Land/RegioUnited States
    Release datum25/04/2023
    PersonenRoelof Hut, Tom Woelders
  • TitelMachine-learning method predicts body clock timing to enhance sleep, health decisions
    Mate van erkenningInternational
    Media naam/outletMirage News
    MediatypeWeb
    Land/RegioAustralia
    Release datum25/04/2023
    BeschrijvingA new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.
    Producent / auteurUniversity of Surrey
    URLhttps://www.miragenews.com/machine-learning-method-predicts-body-clock-992554/
    PersonenRoelof Hut, Tom Woelders
  • TitelSleep better, live better: Machine-learning method can predict your body clock
    Mate van erkenningInternational
    Media naam/outletNeuroscience News
    MediatypeWeb
    Land/RegioUnited States
    Release datum24/04/2023
    BeschrijvingNew machine-learning method predicts the body clock, helping to improve sleep and health. The technology offers personalized sleep and meal plans aligned to our personal biology, reducing risks of illness. The approach uses blood samples to predict circadian timing and offers an easy way to estimate our own circadian rhythms.
    Producent / auteurUniversity of Surrey
    URLhttps://neurosciencenews.com/machine-learning-circadian-rhythm-23092/
    PersonenRoelof Hut, Tom Woelders
  • TitelNew machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletEurekAlert!
    MediatypeWeb
    Land/RegioUnited States
    Release datum24/04/2023
    BeschrijvingA new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

    The research, which has been conducted by the University of Surrey and the University of Groningen, used a machine learning programme to analyse metabolites in blood to predict the time of our internal circadian timing system.
    Producent / auteurUniversity of Surrey
    URLhttps://www.eurekalert.org/news-releases/986803
    PersonenRoelof Hut, Tom Woelders
  • TitelNew machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletScienMag
    MediatypeWeb
    Land/RegioUnited Kingdom
    Release datum24/04/2023
    Beschrijving A new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

    The research, which has been conducted by the University of Surrey and the University of Groningen, used a machine learning programme to analyse metabolites in blood to predict the time of our internal circadian timing system.
    URLhttps://scienmag.com/new-machine-learning-method-predicts-body-clock-timing-to-improve-sleep-and-health-decisions/
    PersonenRoelof Hut, Tom Woelders
  • TitelNew machine-learning method predicts body clock timing to improve sleep and health decisions
    Mate van erkenningInternational
    Media naam/outletMedical Xpress
    MediatypeWeb
    Land/RegioUnited Kingdom
    Release datum24/04/2023
    BeschrijvingA new machine-learning method could help us gauge the time of our internal body clock, helping us all make better health decisions, including when and how long to sleep.

    The research, which has been conducted by the University of Surrey and the University of Groningen, used a machine learning program to analyze metabolites in blood to predict the time of our internal circadian timing system. The study is published in the journal Proceedings of the National Academy of Sciences.
    Producent / auteurUniversity of Surrey
    URLhttps://medicalxpress.com/news/2023-04-machine-learning-method-body-clock-health.html
    PersonenRoelof Hut, Tom Woelders