Resource type:
Blogs/news/opinion
Link:
The article titled "Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review" by Dimitris Tsolakidis, Lazaros P. Gymnopoulos, and Kosmas Dimitropoulos discusses how AI and machine learning technologies are being integrated into personalized nutrition systems. The review covers various approaches, such as recommendation systems and data collection technologies, that use individual health data (e.g., physiological, dietary preferences) to provide tailored nutrition advice. The paper explores challenges in implementing these systems and highlights future opportunities for improving accuracy and efficiency in the field of personalized nutrition.
Source: Canva