Transforming Personalized Nutrition Practice
| Type | research |
|---|---|
| Area | Nutrition |
| Published(YearMonth) | 2012 |
| Source | https://academic.oup.com/nutritionreviews/article/78/12/1046/5820101 |
| Tag | newsletter |
| Checkbox | |
| Date(of entry) |
Transforming Personalized Nutrition Practice
This article discusses the integration of personalized nutrition into clinical practice, emphasizing the need for evidence-based pathophysiological reasoning. Personalized nutrition considers individual genetic, environmental, and lifestyle factors to tailor dietary recommendations. Current practices are challenged by the complexity of individual responses and the need for robust, standardized tools. By leveraging machine learning and systems biology, practitioners can predict intervention outcomes, enhancing patient-centered care. This approach aims to transform nutrition practice into a model that is personalized, preventive, predictive, and participatory.