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FAPESP announces result of call for proposals with British research council Versão em português
Six projects were selected from proposals submitted in response to a call for proposals launched in conjunction with the Medical Research Council, aimed at supporting collaborations in AI for biomedical and health applications.
FAPESP announces the result of a call for proposals launched last April with the Medical Research Council (MRC) – one of the United Kingdom’s research councils linked to UK Research & Innovation (UKRI), the British scientific funding agency. The call, which aimed to support collaborative artificial intelligence (AI) research in health, selected six proposals.
The call had projects selected in the two categories established for submissions: the first granted Regular Research Grants for new (or early-stage) partnerships between early-career researchers from São Paulo state and England; the second used the Thematic Projects modality to fund large-scale research in Brazil and the United Kingdom led by more established groups.
The selected projects must last three years, starting in February 2025 and concluding by the end of January 2028. With the result, FAPESP and MRC reinforce the general objective of the call – to support research that generates real-world impact by addressing urgent health needs and barriers to the use of AI in biomedical and health research.
Selected proposals:
Minimizing inequalities in urinary tract infection care access and quality in São Caetano do Sul, Brazil: application of intelligent data linkage and machine learning decision-support and risk prediction
Grant number: 2024/10166-8
Type of Support: Auxílio à Pesquisa Regular
PI: Silvia Figueiredo Costa
PI abroad: Alison Helen Holmes
I-GAME: Integrated Genomics and AI as a tool for Malaria Elimination in Brazil
Grant number: 2024/10186-9
Type of Support: Auxílio à Pesquisa Regular
PI: Cláudio Romero Farias Marinho
PI abroad: Taane clark
Innovative AI-empowered organoid platform for illuminating early neural tube development and related neural tube defects
Grant number: 2024/10218-8
Type of Support: Auxílio à Pesquisa Regular
PI: Oswaldo Keith Okamoto
PI abroad: Guang Yang
Speaking up for COPD through Artificial Intelligence in Brazil: Analysis of voice biomarkers for better diagnosis, early identification of exacerbation and assessing the effect of pulmonary rehabilitation
Grant number: 2024/10232-0
Type of Support: Projeto Temático
PI: Renata Gonçalves Mendes
PI abroad: John Robert Hurst
AI-Based Support for Mental Health Communication (AIM-Health)
Grant number: 2024/10233-7
Type of Support: Auxílio à Pesquisa Regular
PI: Helena de Medeiros Caseli
PI abroad: Aline Villavicencio
Breast Cancer Diagnosis and Risk Prediction in Multi-Incidence Mammograms: Leveraging UK and Brazilian Data and Expertise
Grant number: 2024/10263-3
Type of Support: Auxílio à Pesquisa Regular
PI: Hae Yong Kim
PI abroad: Giovanni Montana