Lab profile
About LABDAPS
LABDAPS develops machine learning algorithms and predictive models to improve clinical decisions and public health management in Brazil. Founded at the Faculty of Public Health at USP, the lab integrates advanced statistical methods and artificial intelligence to transform data into applied knowledge for health.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patientsStudy examining machine learning algorithms used in healthcare to support clinical decision-making for COVID-19 mortality risk.
- Inteligência artificial na saúde pública brasileira: potencialidades, desafios e implicações éticas para o Sistema Único de SaúdeCritical analysis of the potentialities, challenges and ethical implications of incorporating Artificial Intelligence in the Brazilian public health system.
- Predicting negative self-rated oral health in adults using machine learning: A longitudinal study in Southern BrazilLongitudinal study using machine learning to predict negative self-rated oral health in adults.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Predicting Headache at Age 40 Using Machine Learning: A Life-Course Analysis from the 1982 Pelotas Birth Cohort, Brazil.Journal of dentistry · 2026
- Development and validation of a miRNA-based prognostic model for high-grade serous ovarian cancer: a retrospective cohort study.Lancet regional health. Americas · 2026
- Echo Chambers: Bias and Representation in Cardiac Imaging Datasets for Artificial Intelligence.Current cardiology reports · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
No news has been collected from the lab’s site yet.
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.