Grupo de Investigación en Aplicaciones Biomédicas de la Resonancia Magnética Nuclear de la UAB, CIBER-BBN

  • Arus Caralto, Carles (Principal Investigator)
  • Arias Ramos, Nuria (Investigator)
  • Cabañas Egaña, Miquel (Investigator)
  • Candiota Silveira, Ana Paula (Investigator)
  • Ciezka , Magdalena (Investigator)
  • Ferrer Font, Laura (Investigator)
  • García Chacón, Alina (Investigator)
  • Julià Sapé, Mª Margarita (Investigator)
  • Lope Piedrafita, Silvia (Investigator)
  • Martín Sitjar de Togores, Juana (Investigator)
  • Moreno Torres, Ángel (Investigator)
  • Ortega Martorell, Sandra (Investigator)
  • Acebes Martin, Juan Jose (Investigator)
  • Aguilera Grijalbo, Carlos (Investigator)
  • Baquero Munero, Miquel (Investigator)
  • Capdevila Cirera, Antoni (Investigator)
  • Cos Domingo, Mónica (Investigator)
  • Fernández-Coello, Alejandro (Investigator)
  • Godino Maritínez, Oscar (Investigator)
  • Majós Torró, Carles (Investigator)
  • Oriol Rocafiguera, Albert (Investigator)
  • Vellido, Alfredo (Investigator)

Project Details


Our major research interest is the improvement of the diagnosis, treatment and therapy response follow-up of abnormal brain masses, using noninvasive monitoring tools based in Nuclear Magnetic Resonance. With this major goal in mind, several sublines related to MR methodology are being investigated, which include:

- Treatment with conventional or novel therapeutic agents and response follow-up of preclinical brain tumour models.

- Search for molecular surrogate biomarkers of in vivo tumor therapy response, through in vitro, ex vivo and in vivo studies of cell lines, animal models and their biopsies. Correlation with molecular and cellular parameters (histopathology, genomics). Potential translation to clinical practice.

- In vivo molecular phenotyping of tumor progression and therapy response.

- Classifier development and their implementation into decision-support systems (DSS) for helping in clinical decision making in an evidence-based medicine context.

- Characterization of the type and grade of human brain tumors and other neural pathologies by imaging (MRI) and in vivo magnetic resonance spectroscopy (MRS, MRSI). Therapy response characterization in treated patients, using pattern recognition tools developed with preclinical models.
Effective start/end date1/01/0731/12/30

Collaborative partners

  • Universitat Autònoma de Barcelona (UAB) (lead)


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