Imagine if your diet was as personalized as your medication, tailored to your specific gut bacteria and genes. This project creates a digital tool that tells doctors exactly what a lung cancer patient should eat to fight malnutrition and handle chemotherapy better. It's like a high-tech GPS for nutrition that helps patients feel stronger and recover faster.
Lung cancer patients suffer from high rates of malnutrition and metabolic dysfunction, which makes treatments less effective and lowers quality of life. Current nutritional support is too generic and ignores individual genetic and microbiome differences.
A comprehensive multi-omics dataset of 150-180 patients and a clinician-ready digital decision-support tool for personalized dietary planning.
If you are a software developer dealing with generic dietary apps — this project developed a clinician-ready digital decision-support tool that uses multi-omics data to create personalized dietary plans. This allows for a more precise medical product that targets a 10% reduction in treatment-related adverse events.
If you are a food producer dealing with one-size-fits-all supplements — this project developed a dataset of 150–180 patients and their metabolic phenotypes. This allows you to design targeted nutritional products based on specific glycomic and microbiome signatures.
If you are a lab dealing with raw data that lacks clinical application — this project developed predictive mechanistic models that link glycomics and proteomics to patient prognosis. This enables you to offer a high-value diagnostic package for lung cancer metabolic health.
Based on available project data, the specific cost of the digital tool or the dietary interventions is not provided.
Yes, the project is built to be easily translatable to any other vulnerable population suffering from malnutrition or metabolic impairments.
Based on available project data, there is no mention of specific patents or licensing agreements at this stage.
The project aims to deploy a clinician-ready digital decision-support tool designed for use by medical staff in oncology departments.
The project period runs from 2024-09-01 to 2028-08-31.
The consortium is heavily research-oriented, consisting of 7 partners from 4 countries (DE, ES, IT, PT). With 5 research organizations, 1 university, and 1 other entity, there is a 0% industry ratio. This indicates the project is currently focused on scientific validation and data generation rather than immediate commercialization.
Contact FUNDACIÓN IMDEA NUTRICIÓN in Spain
Contact us to find partners for the commercialization of the digital decision-support tool.
