CV Lattes
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Universidade de São Paulo (USP). Faculdade de Saúde Pública (FSP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor in Economics from FEA/USP, Ph.D. in Public Health from FSP/USP and was a postdoctoral researcher at Harvard University. Associate Professor at the Department of Epidemiology of FSP/USP and the director of the Laboratory of Big Data and Predictive Analysis in Healthcare (Labdaps). Research area: public health, with emphasis in health statistics and machine learning. (Source: Lattes Curriculum)
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Non-Communicable Diseases (NCDs), such as diabetes mellitus, systemic arterial hypertension, and dyslipidemia, account for more than 80% of premature deaths globally and impose a high socioeconomic burden, particularly in low- and middle-income countries. In Brazil, it is estimated that approximately 45% of the adult population has at least one NCD. However, underdiagnosis rates exceeding…
The School of Public Health (FSP) of the University of São Paulo discussed the application of the 2024 FAPESP Institutional Infrastructure Technical Reserve during the Research and Innovation Committee and other appropriate instances. After receiving proposals for the allocation of the 2024 Institutional Technical Reserve (RTI) funds from FAPESP, the Research and Innovation Committee (CPq…
The School of Public Health (FSP) of the University of São Paulo discussed the application of the Technical Reserve for Institutional Infrastructure of FAPESP 2020 in its internal Research Committee and in its other appropriate instances. After receiving proposals for the use of funds from FAPESP's Institutional Technical Reserve (RTI) for 2023, the Research and Innovation Commission (CPq…
The School of Public Health (FSP) of the University of São Paulo discussed the application of the Technical Reserve for Institutional Infrastructure of FAPESP 2020 in its internal Research Committee and in its other appropriate instances. It was decided that, due to the current situation categorized by the covid-19 pandemic and the other demands brought by the large amount of data ("big d…
(Only some records are available in English at this moment)
Neglected Tropical Diseases (NTD) disproportionately affect vulnerable populations in tropical and subtropical regions, resulting in high morbidity and mortality. This project aims to develop, apply, and evaluate Machine Learning (ML) algorithms, with an emphasis on Transfer Learning (TL), for predicting adverse outcomes associated with NTD in Brazil, such as treatment abandonment, therap…
The Laboratory of Big Data and Predictive Analysis in Health (LABDAPS), part of the School of Public Health at the University of São Paulo (FSP-USP), celebrated eight years of activity in 2025. Over this period, it has published more than 50 scientific articles in national and international journals and trained 25 students, who now work as faculty in the field of artificial intelligence (…
Subclinical lesions in small vessels of the brain are pathological alterations that, although they do not cause obvious clinical symptoms, can be detected by advanced neuroimaging techniques. These lesions include cerebral microinfarcts, lacunes, white matter hyperintensities, microhemorrhages, and enlarged perivascular spaces, all of which are associated with an increased risk of cogniti…
(Only some records are available in English at this moment)
Hypertension (AH) is a multifactorial clinical condition characterized by sustained elevation of blood pressure levels e 140 and/or 90 mmHg. In the pediatric population, according to the European Society of Hypertension Guidelines for Children and Adolescents (2016), the increased prevalence of hypertension in this public has become a major public health issue, leading a significant amoun…
The epidemiologic transition observed in Brazil in recent decades has led to a swift increase in the number of elderly individuals and their causes of morbidity and mortality. Currently, chronic diseases, particularly cardiovascular diseases, are responsible for the majority of deaths and hospitalizations in the country. Objective: To perform a longitudinal analysis of the risk factors fo…
Introduction: Most countries are going through a process of demographic transition, resulting in an increase of their elderly population. European countries experienced economic development before population aging. On the other hand, Brazil's elderly population growth happened within a low income environment. The elderly are more vulnerable to chronic diseases but also accidents such as f…
(Only some records are available in English at this moment)