Integrative Biomedical Informatics
Group Leader
Laura Inés Furlong Nespolo
Group Leader
Ferran Sanz Carreras
The huge wealth of biomedical information that is currently available is underused because of the difficulties in seeking, integrating and analyzing the relevant information. There is also considerable great difficulty involved in identifying and using clinically actionable information. The goal of the Integrative Biomedical Informatics (IBI) group is to develop computational methods and tools to address these challenges, with the aim of better understanding human health and disease and contributing to the design of more effective and safer therapeutic interventions.
The ongoing research areas of the IBI group are the following:
• Text mining
• Knowledge management and linked data
• Real World Data (RWD) analytics in health
• Systems biology and network medicine for the study of human diseases and drug toxicity
• Integrative knowledge management and exploitation in drug discovery and development
Research group
Members
Eduardo Eyras Jiménez (Researcher)
Alexia Giannoula (Researcher)
Miguel Ángel Mayer Pujadas (Researcher)
Janet Piñero González (Researcher)
Juan Manuel Ramírez Anguita (Researcher)
Gabriel Santpere Baró (Researcher)
Judith Pérez Granado (PhD Student)
Emre Güney (Technician)
María de los Ángeles Leis Machín (Technician)
Francesco Ronzano (Technician)
Josep Saüch Pitarch (Technician)
María Jesús Donlo Fernández (Research Assistant)
Alfons González Pauner (Research Assistant)
Carina Oliver Dutrem (Research Assistant)
Main Publications
• Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. J Med Internet Res 2019; 21(6): e14199. IF 4.945. D1.
• Ronzano F, Gutiérrez-Sacristán A, Furlong LI. Comorbidity4j: a tool for interactive analysis of disease comorbidities over large patient datasets. Bioinformatics 2019; 35 (18): 3530-3532. IF 4.531. Q1.
• Pérez-Granado J, Piñero J, Furlong LI. ResMarkerDB: a database of biomarkers of response to antibody therapy in breast and colorectal cancer. Database (Oxford) 2019; 2019: baz060. IF 3.683. Q1.
Ongoing Research Projects
• FAIRplus
- Financing institution: Innovative Medicines Initiative – IMI (802750)
- Period: from 2019 to 2021
- Principal investigator: Sanz Carreras, Ferran
• Enhancing TRANslational SAFEty Assessment through Integrative Knowledge Management (eTRANSAFE)
- Financing institution: Innovative Medicines Initiative – IMI (777365)
- Period: from 2017 to 2022
- Principal investigator: Sanz Carreras, Ferran
• Translational quantitative systems toxicology to improve the understanding of the safety of medicines (TransQST)
- Financing institution: Innovative Medicines Initiative – IMI (116030)
- Period: from 2017 to 2021
- Principal investigator: Sanz Carreras, Ferran
• Clinical Knowledge Aggregation by Mining medical rEports (CliKA-MinE)
- Financing institution: Fondo de Investigación Sanitaria. ISCIII (PI17/00230)
- Period: from 2018 to 2020
- Principal investigator: Furlong Nespolo, Laura Inés
• EXCELLERATE: Fast-track ELIXIR implementation and drive early user exploitation across the life-sciences
- Financing institution: European Commission H2020 (676559)
- Period: from 2015 to 2019
- Principal investigator: Sanz Carreras, Ferran
Participation in Research Networks
• Plataforma Tecnológica Española de Medicamentos Innovadores (PTEMI)
- Period: from 2006
- Principal investigator: Sanz Carreras, Ferran; co-president of the platform
• Bioinformatics Barcelona Association (BIB)
- Period: from 2015
- Principal investigator: Sanz Carreras, Ferran; vice-president
• Spanish Institute of Bioinformatics (INB)
- Period: from 2005
- Principal investigator: Sanz Carreras, Ferran; PI of the node for Biomedical Informatics
2019
C/ Doctor Aiguader, 88
08003 Barcelona
(+34) 93 316 04 00
info@imim.es