PREDICT - Personalized therapy for RhEumatic DIseases via machine learning

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The research team reflects the multidisciplinary nature of the PREDICT project. The Instituto de Telecomunicaçõs (IT) team has a vast experience in machine learning. Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC-ID) and Associação para a Investigação e Desenvolvimento de Ciências (FCiências.ID) researchers have experience in clustering, genetic programming and survival analysis. The Nova Medical School/Centro de Estudos de Doenças Crónicas (NMS/CEDOC) team is expert in rheumatic diseases and has in hands big databases of rheumatic patients from which no relevant information was extracted.

Instituto de Telecomunicaçõs - IT

• Alexandra Carvalho (FCT team member)
• Mário Figueiredo (FCT team member)
• Helena Aidos (FCT team member)
• Margarida Sousa (FCT team member)
• Paulo Mateus (FCT team member)
• Nikola Paunkovic (FCT team member)
• André Souto (FCT team member)
• Bruno Mera (PREDICT posdoc)

Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento - INESC-ID

• Susana Vinga (FCT team member)
• Eunice Carrasquinha (FCT team member)
• Marta Lopes (FCT team member)
• André Veríssimo (FCT team member)
• Carolina Peixoto (FCT team member)
• Cláudia Constantino (PREDICT grant)

Associação para a Investigação e Desenvolvimento de Ciências - FCiências.ID

• Sara C. Madeira (FCT team member)
• Sara Silva (FCT team member)
• Leonardo Vanneschi (FCT team member)
• Leonardo Trujillo (FCT team member)

Nova Medical School/Centro de Estudos de Doenças Crónicas - NMS/CEDOC

• Helena Canhão (FCT team member)
• Ana Rodrigues (FCT team member)
• Rute de Neves (FCT team member)
• Sara Dias (FCT team member)