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Molecular Imaging and Therapy

The Molecular Imaging and Therapy research group focuses its activity on deepening the molecular bases and developing new areas of research in molecular signaling pathways and the identification of new theranostic targets.

We promote the confluence of basic and clinical researchers, experts in imaging and molecular biology to provide:

  • Access to knowledge of the biokinetics and biodistribution of the molecules under study
  • The proofs of concept necessary in the research processes
  • The identification and quantification of the targets defined by the research groups of our center

In this context, the creation of a translational imaging unit constitutes a basic objective for the development of research aimed at the personalized treatment of patients.

The group is made up of medical specialists in molecular imaging, chemists and pharmacists specializing in tracer synthesis, and biomedical engineers and physicists specializing in image processing and tomography equipment. These are affiliated with different institutions, such as the Vall d'Hebron Research Institute (VHIR), the Vall d'Hebron University Hospital (HUVH) and the Institute of Diagnostic Imaging (IDI).

Projects

QUSTom - Quantitative Ultrasound Stochastic Tomography - Revolutionizing breast cancer diagnosis and screening with supercomputing-based radiation-free imaging.

IP: Ana Maria Rodriguez Arana
Collaborators: Olga Sánchez- Maroto Carrizo, Almudena Maceda Garcia, QUSTom - Quantitative Ultrasound Stochastic Tomography - Revolutionizing breast cancer diagnosis and screening with supercompu, Paula Isabel Roldan Caballero, Ester Serrano I Porras
Funding agency: EUROPEAN COMMISSION
Funding: 400871.25
Reference: QUSTOM_HE-EIC-PATHFINDEROPEN2021
Duration: 01/04/2022 - 30/09/2024

Blog

News

Researchers incorporate advanced cardiovascular prediction algorithms into cardiac imaging software, enabling the automatic calculation of the risk of serious complications during the routine analysis of cardiac studies.

Researchers from the centre took part in international debates on AI in healthcare, spin-offs emerging from research were presented, and several initiatives linked to VHIR received recognition in the field of entrepreneurship.

ImmunoPET enables in vivo detection of LIF expression, a molecule linked to tumour growth, immune evasion and treatment resistance.