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Discover the Projects of Grand Challenges Brazil
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Projects
Projects
Development and evaluation of an intelligent system for orientation and safe, accessible drug prescription adapted to distinct cultural contexts
Artificial Inteligence
Implementation of a Chatbot based on LLM for Post Hospital-Discharge Surveillance of Patients with Surgical Wounds in the Unified Health System: Pilot Application in the Federal University Hospital in Pernambuco (HC-UFPE)
Artificial Inteligence
Echoes of the Route: Empowering Early Warning Systems for Events Based on Artificial Intelligence and Community Leaders on the Two-Ocean Route
Artificial Inteligence
EXTRACT – Extracting Health Research Applications and Recommendations Using Artificial Intelligence
Artificial Inteligence
Investigating the potential of artificial intelligence to facilitate access to culturally adapted information on tuberculosis in resource-limited languages in Brazil and Mozambique
Artificial Inteligence
An artificial intelligence center for surveillance and assistance in decisions on complex cases of interpersonal violence in vulnerable populations
Artificial Inteligence
Transformer neural network architecture in training a large language model (LLM) for access to information on use of medicines
Artificial Inteligence
Development of a Large Language Model for interaction with Community Health Agents in the Unified Health System for the Prevention of Chronic Noncommunicable Diseases in the first 1,000 Days of Life
Artificial Inteligence
Strengthening the Unified Health System with LLMs: Interoperability and Equity in Clinical Notes for Public Health in Brazil
Artificial Inteligence
A One Health Approach to Modeling Data on Arbovirus Infections Transmitted by Aedes in Brazil
Climate&Health
Community-led interventions, participatory surveillance, and governance of public spaces to mitigate climate changes in urban favela communities
Climate&Health
Influence of adverse climate events on birth outcomes and maternal and child nutrition using data from the 100 Million Brazilian Cohort
Climate&Health
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