-
Presentation
Presentation
The aim of the course is to provide students with skills in constantly updating their knowledge, based on the latest scientific evidence, which is fundamental to the clinical approach in the field of Nutritional Sciences.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 6
-
Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
-
Code
Code
ULHT6866-25656
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
Concepts of innovation and their application in nutrition. Current trends and challenges in nutritional interventions. New Technologies in Nutritional Intervention Precision Nutrition and Personalised Nutrition Multidisciplinary Approaches to Nutritional Intervention Evaluation of Innovative Nutritional Interventions Ethics and Responsibility in Nutritional Innovation
-
Objectives
Objectives
Analysing and integrating new technologies and digital tools into nutritional practice Evaluate the impact of new technologies, such as mobile applications, artificial intelligence and big data, on nutritional management. Evaluate the effectiveness of innovative nutritional interventions: Use evaluation and research methodologies to measure the impact of new nutritional interventions. Apply evidence-based practices in the creation and adaptation of innovative nutritional programmes. Develop critical and creative thinking in solving nutritional challenges: Apply design thinking techniques and creativity in solving food and nutrition problems. Critically evaluate results and innovations in nutrition and health.
-
Teaching methodologies and assessment
Teaching methodologies and assessment
Use of digital platforms such as Kahoot, google forms for interactive moments in the classroom.
-
References
References
Ordovas, J. M., Ferguson, L. R., Tai, E. S., & Mathers, J. C. (2018). Personalised nutrition and health. BMJ, 361, k2173. https://doi.org/10.1136/bmj.k2173 Simpkin, A. L., & Schwartzstein, R. M. (2016). Tolerating uncertainty—The next medical revolution? New England Journal of Medicine, 375(18), 1713-1715. https://doi.org/10.1056/NEJMp1606402 Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
-
Office Hours
Office Hours
-
Mobility
Mobility
No