Project name: PERSEIDS – Personalizing cancer therapy through integrated modeling and decision
Project code: PERSEIDS
Project timeline: 2016 - 2019
Research group: Intelligent Systems
Objective
Personalised medicine
Project team
Publications
Carolina Peixoto, M.B. Lopes, M. Martins, S. Casimiro, D. Sobral, A.R. Grosso, C. Abreu, A. Mansinho, P. Filipe, P.M.D. Costa, A. Fernandes, P. Borralho, C. Ferreira, J. Malaquias, A. Quintela, S. Kaplan, M. Golkaram, M. Salmans, N. Khan, R. Vijayaraghavan, S. Zhang, T. Pawlowski, J. Godsey, A.L So, L. Liu, L. Costa, S. Vinga, Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization, BMC Bioinformatics, 24, 1, 17, 2023
Ana Carolina Amaral Peixoto, Computational Biology for Modeling Oncological Omics Data: the way towards personalized medicine, Instituto Superior Técnico, Universidade de Lisboa, Dec, 2022
Joana Pinheiro Neto, Irina Alho, Luís Costa, Sandra Casimiro, Duarte Valério, S. Vinga, Dynamic modeling of bone remodeling, osteolytic metastasis and PK/PD therapy: introducing variable order derivatives as a simplification technique, Journal of Mathematical Biology, 83, 4, 39, 2021