Explore the ethical considerations and applications of AI in personalized nutrition with insights from global experts. Learn how big data and predictive algorithms can revolutionize dietary recommendations. The course covers innovative methods for collecting nutrition data, such as continuous glucose monitors, and provides insights into nutrition research study designs. Address consumer barriers to interpreting test results and examine various personalized nutrition products and services. The role of medical professionals, including doctors and registered dietitians, is highlighted. Finally, the course looks ahead to the future of personalized nutrition, discussing democratization, partnership creation, and the components of the personalized nutrition ecosystem. This comprehensive exploration will equip you with a deep understanding of how AI can enhance dietary recommendations and improve overall health outcomes.
Expérience recommandée
Compétences que vous acquerrez
- Catégorie : AI Personalization
- Catégorie : Clinical Nutrition
- Catégorie : Precision Medicine
- Catégorie : Health Informatics
- Catégorie : General Medical Tests and Procedures
- Catégorie : Artificial Intelligence
- Catégorie : Patient Education And Counseling
- Catégorie : Healthcare Ethics
- Catégorie : Nutrition and Diet
- Catégorie : Health Technology
- Catégorie : Continuous Monitoring
- Catégorie : Data Collection
- Catégorie : Company, Product, and Service Knowledge
- Catégorie : Personalized Service
- Catégorie : Data Ethics
- Catégorie : Consumer Behaviour
- Catégorie : Clinical Research
Détails à connaître
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décembre 2024
6 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Il y a 4 modules dans ce cours
Welcome to the course orientation and Module 1 | Data Collection and Analysis for Personalized Nutrition. The orientation will help you obtain the technical skills required for the course. This module delves into personalized nutrition data collection and study design and the critical role of behavioral data in tailoring nutritional advice. You will explore the ethical implications of AI in this field, understand how AI processes large datasets to develop predictive algorithms, and learn about advanced tools like continuous glucose monitors. Furthermore, you will explore the research methodologies that form the foundation of nutritional studies.
Inclus
16 vidéos8 lectures2 devoirs1 sujet de discussion
In this module, you will explore the challenges consumers face in interpreting and applying test results, understand their needs and preferences in personalized nutrition, and classify the various companies offering these products and services. Additionally, you will gain a comprehensive overview of the types of personalized nutrition products and services available in the market today.
Inclus
10 vidéos3 lectures1 devoir
Great work! You are almost there! Module 3 will help you appreciate the opportunities and challenges of integrating personalized nutrition into modern medical practice. You will discover more on leveraging personalized nutrition knowledge and technology to effectively guide and engage clients and understand the pivotal role personalized nutrition plays in dietetics practice.
Inclus
11 vidéos4 lectures1 devoir
Nice work! You are at the finish line. In Module 4 you will explore the concept of democratizing personalized nutrition and appreciate the future opportunities and challenges in this evolving field. You will also learn how to create and sustain successful partnerships and gain a comprehensive understanding of the personalized nutrition ecosystem.
Inclus
11 vidéos5 lectures2 devoirs
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Instructeur
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En savoir plus sur Nutrition
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
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