Today, MNI President, Manuela Schaflechner, awarded the €30.000 2021 MNI Grant to the project "An intelligent online platform to predict adverse outcomes from cancer-related malnutrition using the GLIM criteria" during the 2021 Joint Policy Seminar at the ESPEN Congress.
This project will develop an intelligent online platform, using decision trees, to predict adverse outcomes from cancer-related malnutrition. The platform will utilise machine learning models to determine which phenotypic and etiologic combinations of the GLIM criteria are predictive of adverse outcomes (30-day mortality and unplanned hospital admission) in an existing cohort of 2492 oncology patients. Models with and without phenotypic and etiologic criteria for which there are often barriers to assessment within health services (e.g. inflammation, muscle mass) will be assessed.
Associate Professor Nicole Kiss from the Institute for Physical Activity and Nutrition, Deakin University, Victoria, Australia, received the award on behalf of the entire project team.
The 2022 MNI Grant selection criteria were also announced during the session.