Personalised pathway modelling and prediction under uncertainty for complex diagnostic and clinical management pathways

• Grant number: 23/14879-6
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2025
• End date: January 31, 2027
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: André Carlos Ponce de Leon Ferreira de Carvalho
• Grantee: André Carlos Ponce de Leon Ferreira de Carvalho
• Principal researcher abroad: Carlos Lamas-Fernandez
• Institution abroad: University of Southampton, England
• Principal researcher abroad: EDILSON FERNANDES DE ARRUDA
• Institution abroad: University of Southampton, England
• Principal researcher abroad: Steffen Christoph Bayer
• Institution abroad: University of Southampton, England
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated researchers: David Livingstone Alves Figueiredo ; Ricardo Cerri
• Associated research grant: 20/09835-1 - IARA - Artificial Intelligence in the Remaking of Urban Environments, AP.PCPE

Abstract

This project will explore avenues for personalised healthcare planning and modelling. We will combine artificial intelligence and mathematical modelling to produce personalised diagnosis prediction, and decision support for the design of personalised treatment and diagnostic pathways. The proposed solution will ensure data privacy, fairness and model interpretability, to allow validation by health care specialists. We will integrate data from different cancer diagnosis and treatment sources, including data from the Cancer Institute of Guarapuava, a partner in the project. The project will involve Brazilian graduate students. (AU)