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Translational Data Science

Applying Data Science to Improve Womens's Health

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About

The Laboratory for Translational Data Science (LabTDS) is a research team based at the University of São Paulo's Ribeirão Preto campus, Brazil. It has been certified by the Brazilian National Council for Scientific and Technological Development (CNPq) since 2021. Prof. Dr. Omero Poli-Neto and Prof. Dr. Daniel Tiezzi are the principal investigators and leaders of this research group. Both are affiliated with the Department of Gynecology and Obstetrics at the Ribeirão Preto Medical School, University of São Paulo, and serve as full advisors to the Graduate Program in Gynecology, awarded the highest rating by CAPES, the Brazilian Federal Agency for Support and Evaluation of Graduate Education.

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Focus

Our research primarily focuses on PELVIC PAIN and GYNAECOLOGICAL TUMOURS, emphasizing large-scale epidemiological, molecular, and genomic analyses of dysmenorrhoea, endometriosis, as well as breast and ovarian cancers. Overall, we aim to produce new scientific evidence that can inform clinical practice, healthcare, and public health policies.

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Vision

Data science and artificial intelligence are emerging, promising fields for solving problems that impact humanity. Our group has ventured into this new, challenging, and fascinating domain, striving to deepen our understanding and, where possible, provide solutions to epidemiological, biological, and computational issues, particularly, though not exclusively, those concerning women’s health.

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BIOBANK
REPOSITORIES

Gynaecology, Obstetrics, and Mastology Biobank, advancing translational research.

HEALTH
SERVICES

Clinical services, advancing women’s health through specialized care and research.

Projects

We're mainly looking into PELVIC PAIN & GYNECOLOGICAL TUMORS, diving deep into studying data about breast cancer, dysmenorrhoea, endometriosis, and ovarian cancer from different angles like epidemiology, molecules, and genes. But hey, we're not stopping there! Our goal is to find new science that could change how doctors treat patients, improve healthcare plans, and even influence public health rules.

tetete

Dysmenorrhoea, ou dismenorreia, é o termo médico para dor menstrual intensa, caracterizada por cólicas abdominais dolorosas que ocorrem durante o período menstrual. Existem dois tipos principais de dismenorreia:

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Câncer de Ovário

Carcinoma Epitelial: Origina-se no tecido epitelial que reveste a superfície dos ovários e é o tipo mais comum, representando cerca de 90% dos casos.

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04

Years since establishment

LabTDS is a research team harnessing data science and artificial intelligence to advance women’s health through translational research.

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5
TOOLS DEVELOPED
50
MANUSCRIPTS
50
AWARDS WON
50
Students

Our Team

Daniel G Tiezzi

Leader

Omero B Poli-Neto

Leader

Francisco JC Reis

Researcher

Juliana Meola

Researcher

Julio CR Silva

Researcher

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METHODOLOGICAL & STATISTICAL PLANNING

We provide guidance on study design, statistical modelling, and data analysis to ensure methodological robustness and scientific validity.

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DATA MANAGEMENT & CURATION

We assist in structuring, cleaning, and managing research databases, ensuring integrity, security, and compliance with ethical & regulatory standards.

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DATA VISUALISATION & GRAPHICS

We create high-quality, publication-ready graphs and figures that enhance data interpretation and scientific communication.

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FORMATTING THESES, DISSERTATIONS & POSTERS

We assist in formatting theses, dissertations, and scientific posters to meet institutional, conference, and academic standards.

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Courses

Writing your first manuscript

Free for USP Students

starting at
24/03/2025
Writing your first manuscript
  • Introduction and Writing Foundations
  • Principles of Effective Scientific Writing
  • Organising the Writing Process
  • Key Specificities of Scientific Writing: Section by Section
  • Peer Review and Scientific Dialogue
  • Ethics and Research Transparency
Basic Concepts in Biostatistics

Free for USP Students

starting at
02/02/2026
Basic Concepts in Biostatistics
  • Fundamentals of Study Design
  • Data Visualisation and Interpretation
  • Analysis of Qualitative Variables
  • Descriptive Statistics for Quantitative Data
  • Hypothesis Testing for Quantitative Data
  • Building an Analysis Plan with R
popular
Toolbox for Young Researchers

Free for Everybody

starting at
01/04/2025
Toolbox for Young Researchers
  • Foundations of Research Organisation
  • Designing Research and Managing Data
  • Scientific Writing and Document Preparation
  • Data Visualisation and Graphic Design
  • Basic Statistics and Interpretation
  • Dissemination, AI Tools, and Practical Skills
Intro to Bioinformatics in R

Free for USP Students

starting at
04/08/2025
Intro to Bioinformatics in R
  • Computational Foundations for Data Analysis
  • Working with Servers and Automation
  • Introduction to R Programming
  • Descriptive and Exploratory Data Analysis in R
  • Statistical Inference and Visualisation in R
  • Biological Data Repositories and Big Data

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