Our approaches have been published in over a dozen publications in leading journals
in the field such as Bioinformatics and Nature Scientific Reports

Current challenges in health care require approaches that embrace different data modalities.

Backed up by 10 years of experience in systems medicine.

Our expertise

Some applications that we can provide to you:

  • Software solutions specially tailored for the study of disease comorbidities.
  • Stratification of patients’ cohorts based on different features based on machine learning approaches.
  • Software solutions for drug R&D.

Let's work together!

Selected Publications

Our foundation comes from the first step of innovation, research.

J. Aguirre-Plans, J. Piñero, T. Souza, G. Callegaro, S. J. Kunnen, F. Sanz, N. Fernandez- Fuentes, L. I. Furlong, E. Guney, and B. Oliva. An ensemble learning approach for modeling the systems biology of drug-induced injury. Biology Direct, 16(1):5, 2021. doi:10.1186/s13062-020-00288-x.

A. Giannoula, E. Centeno, M.-A. Mayer, F. Sanz, and L. I. Furlong. A system-level analysis of patient disease trajectories based on clinical, phenotypic and molecular similarities. Bioinformatics, 2020. doi:10.1093/bioinformatics/btaa964.

F. Ronzano, A. Gutiérrez-Sacristán, and L. I. Furlong. Comorbidity4j: A tool for interac- tive analysis of disease comorbidities over large patient datasets. Bioinformatics, 35(18): 3530–3532, 2019. doi:10.1093/bioinformatics/btz061.

J. Piñero, L. I. Furlong, and F. Sanz. In silico models in drug development: where we are. Current Opinion in Pharmacology, 42:111–121, 2018. doi:10.1016/j.coph.2018.08.007.

A. Bauer-Mehren, E. M. Van Mullingen, P. Avillach, M. del Carmen Carrascosa, R. Garcia- Serna, J. Piñero, B. Singh, P. Lopes, J. L. Oliveira, G. Diallo, and Others. Automatic filtering and substantiation of drug safety signals. PLoS computational biology, 8(4): e1002457, 2012. doi:10.1371/journal.pcbi.1002457.