Modeling Human Digital Twins for Health Monitoring using Environmental Data and Digital Phenotyping

• Grant number: 25/03347-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2025
• End date: May 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Fábio Moreira Costa
• Grantee: Amanda Almeida Cardoso
• Host Institution: CENTRO CIENCIAS EXATAS TECNOLOGIA/UFMA
• Associated research grant: 23/00811-0 - EcoSustain: computer and data science for the environment, AP.TEM

Abstract

The concept of Human Digital Twin (HDT) refers to a virtual representation of an individual, typically used for health monitoring via the collection of physiological and clinical data, complemented with historical information. In addition, environmental aspects, such as temperature, humidity, ambient light, noise level, and air pollution, among others, can be included to enable investigation of the environment's influence on the health of an individual. This work plan aims to develop an architecture, model and software implementation based on the HDT approach for health monitoring in the context of blue-collar workers in industry, contributing to the creating of a personalized health service.