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Smart and personalized system to predict blood glucose levels and recommend preventive actions to reduce glycemic variability in DM1 and DM2 patients

Grant number: 19/15061-1
Support type:Scholarships in Brazil - Technical Training Program - Technical Training
Effective date (Start): November 01, 2019
Effective date (End): January 31, 2021
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Yuri Kendji Matsumoto
Grantee:Eduardo de Matos Rodrigues
CNAE: Desenvolvimento e licenciamento de programas de computador customizáveis
Tratamento de dados, provedores de serviços de aplicação e serviços de hospedagem na internet
Associated research grant:18/08056-9 - Smart and personalized sysmtem to predict blood glucose levels and recommend preventive actions to reduce glycemic variability in DM1 and DM2 patients, AP.PIPE
News published in Agência FAPESP Newsletter about the scholarship:
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