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#personalizednutrition — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #personalizednutrition, aggregated by home.social.

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  1. South Korea Runs World’s First Enforcement Test of Personalized Supplement Market

    National Cancer Institute/unsplash.com South Korea’s Ministry of Food and Drug Safety launched a five-day unannounced inspection sweep of…
    #EuropeSays #Korea #KR #SouthKorea #customizedhealthfunctionalfood #GoodManufacturingPractice #Herbalife #MFDS #MFDSinspection2026 #personalizednutrition #SouthKoreasupplementregulation #SupplementIndustry
    europesays.com/korea/130359/

  2. 🥗🔬 Personalized nutrition is changing the game! Using data like genetics & lifestyle, RDNs can help tailor plans that support sustainable, effective outcomes for each individual. One-size-fits-all is out—precision is in. #PersonalizedNutrition #RDNsLead #FoodAsMedicine foodandnutrition.com/personali

  3. ✔️ AI-Driven Kitchen Tech for Personalized Dietary Habits

    ✨A #SmartKitchen technology platform powered by #AI that helps individuals optimize their #DietaryHabits by suggesting personalized recipes and meal plans based on their health goals, preferences, and lifestyle.

    #HealthTech #PersonalizedNutrition #MachineLearning #FoodTech #AIMachineLearning

  4. ✔️ AI-Driven Storytelling for FoodTech and Sustainable Eating

    ✨A platform combining AI and storytelling to promote #Sustainablefood choices through engaging narratives and personalized educational experiences.

    #AIstorytelling #FoodTecheducation #Personalizednutrition #Interactivefoodexperiences #Dietaryhabitsimprovement

  5. 🕑 Intermittent fasting isn’t one-size-fits-all! RDs can help assess if it’s right for you, especially with conditions like pregnancy or eating disorders. Personalized nutrition is key to reaching your goals. 💡 #Nutrition #IntermittentFasting #DietitianTips #PersonalizedNutrition #Wellness austindailyherald.com/2024/07/

  6. #PersonalizedNutrition: "Another problem is that personalised nutrition research bases a good deal of its findings on analysis of mountains of data collected by its users. This throws up lots of associations between diet, blood glucose levels, weight and so on. But these “cross-sectional” studies can only ever find associations, not causation. So the existence of an association between greater spikes and higher average blood glucose levels, even in healthy people, does not tell us anything about causation. The higher spikes may be a consequence of an underlying metabolic problem, not the cause of one. If that were the case, keeping the spikes down would be addressing a signal of a problem, not its cause.

    Worse, in very large data sets, Guess explains, cross-sectional studies will inevitably generate false positives: associations that are statistically significant but in effect random, “like buying an iPhone on a Tuesday is associated with risk of Crohn’s”."

    theguardian.com/science/articl

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