☲ Independent Research Projects
This project aims to advance Alzheimer’s disease research by employing data mining techniques to extract insights from open available datasets. By utilising methodologies such as association rule mining, classification, clustering, regression analysis, and feature selection, we aim to identify novel risk factors, develop predictive models for early detection, uncover disease subtypes, and generate actionable insights into disease mechanisms.
Research Operational Team
Helen C. Lopes – Member
Thiago D. Silva – Member
Vanessa P. S. Brasil – Member
Raphael L. Olegário – Coordinator
This project centres on exploring the correlation between exercise and Alzheimer’s disease biomarkers. Our aim is to uncover the potential advantages of physical exercise in slowing the progression of the disease. By mapping the effects of exercise on these biomarkers, our objective is to offer valuable insights into the role of physical activity in preventing and managing Alzheimer’s disease, ultimately guiding strategies to promote healthy lifestyles and alleviate the burden of the disease on individuals and society.
Research Operational Team
- Helen C. Lopes – Member
- Thiago D. Silva – Member
- Vanessa P. S. Brasil – Member
- Manuelle V. Mafia – Member
- Raphael L. Olegário – Coordinator
Research Outputs
- Physical Exercise on Brain β-Amyloid Deposition in Patients with Alzheimer’s Disease: Preliminary Findings of an Integrative Review and Bibliometric Analysis. Conference Proceeding. XVI International Congress of the Regional Council of Physical Education.
Neurodegenerative diseases, such as Alzheimer’s, Parkinson’s, and Huntington’s, present complex challenges for both researchers and clinicians. Animal models have long been employed to understand the mechanisms underlying these diseases and to develop potential treatments. However, the use of animals in research raises significant ethical concerns that must be carefully addressed. This project aims to explore the ethical dimensions of utilising animal models in the study of neurodegenerative diseases.
Research Operational Team
- Kênia A. D. Santos – Member
- Raphael L. Olegário – Coordinator
