Health of a Nation
In collaboration with the Brazilian National Cardiology Institute and the Federal University of Rio de Janeiro
The project for 2024 dives into the future of medical data analysis: How do we know why one person’s cardiovascular health is better than another’s? How much of cardiovascular health is genetically determined? The project Health of a Nation is about a data-driven and high-dimensional analysis of cardiovascular health, where the evidence comes from a rich, multi-modal data set which our project partners have collected and is waiting to be analysed.
Summary
This project focuses on a large medical dataset of Brazilian patients in a project named Renomica. The data offers a rare opportunity for in-depth analysis due to Brazil’s great diversity. The country’s high admixture of races and ethnicities, combined with its vast socio-economic disparities – from the extremely wealthy to the extremely poor – provides a rich landscape for nuanced and fine-grained research.
In the Renomica data, we will discover some of the answers to our questions. By leveraging this diverse dataset, we can uncover critical insights into how various genetic and socio-economic factors influence health outcomes, potentially informing more equitable and effective healthcare strategies both within Brazil and beyond.
Keywords
IPOLE, machine learning, multimodal analysis, visualisations, database design, encryption, genetics, cardiovascular
Goal
The goal is to identify digital biomarkers of cardiovascular disease and to design interactive visual analytics dashboards to enable easier access to data for medical experts.
Project details
| Duration: | 1 Semester |
| Teams: | 4 |
| Size of teams: | 6-10 People |
Partner Institute and University
Brazilian National Cardiology Institute
Dr. Helena Cramer Veiga Rey (MD, PhD), Teaching & Research Coordinator INC
Federal University of Rio de Janeiro
Dr. Adriana Bastos Carvalho (MD, PhD), Associate Professor at UFRJ
Project lead IPOLE
Prof. Dr. Arzu Çöltekin, FHNW, Institute of Interactive Technologies IIT
Prof. Dr. Sarah Brüningk, FHNW, Institute of Data Science I4DS
Dr. Leticia Fernández Moguel, FHNW, Institute of Interactive Technologies IIT
Rahel Ganarin, FHNW, Institute of Interactive Technologies IIT
Contact
Arzu Çöltekin, arzu.coltekin@fhnw.ch
Sarah Brüningk, sarah.brueningk@fhnw.ch