Resolution of the Distributed Biomedical Image Network approving the following applications of the ReDIB-2020 call for proposals on January 4, 2021:
| Code | Institution | Project Title |
| ReDIB-2020-a-01 | Instituto Cajal, CSIC, Madrid | Anatomical and biochemical basis of anxiety and depression in Parkinson's disease |
| ReDIB-2020-a-02 | BIOQUÍMICA, FACULTAD DE MEDICINA-UAM CENTRO MIXTO IIBm | Targeting Gasdermin-B overexpression as a new therapeutic approa APPROA |
| ReDIB-2020-a-03 | Complejo Hospitalario Ruber Juan Bravo Madrid | PRECOGNITIVE |
| ReDIB-2020-a-04 | CNIC | Understanding cardiotoxicity and myocardial damage |
| ReDIB-2020-a-05 | UFV | Non-invasive molecular imaging of cardiac inflammatory regression in response to acute myocardial infarction, by using nanoparticles targeting macrophage polarization in a porcine model of coronary ischemia/reperfusion” |
| ReDIB-2020-a-06 | UCM | MRI and TD-NMR as automation and control tools in fresh ham samples |
| ReDIB-2020-a-07 | LABORATORIO DE PROCESADO DE IMÁGENES (LPI). Universidad de Valencia | 'Deep Networks' en el Cerebro Visual: de las Medidas a los Algoritmos |
| ReDIB-2020-a-08 | La Fe Health Research Institute | Modulating the activity of genes controlling fat metabolism as a therapeutic strategy in Huntington Disease |
| ReDIB-2020-a-09 | Grupo Acreditado de Investigación en Hematología (IIS La Fe) | Multimethodological approach to the analysis of prognostic factors at diagnosis of Hodgkin lymphoma |
| ReDIB-2020-a-10 | UCM | METABOCARE |
| ReDIB-2020-a-11 | CIB Margarita Salas (CSIC) | Targeting RGD cadherins, a2b1 integrin and interleukin 13 receptor alpha2 (IL13Ra2) for cancer metastasis therapy (Therabodies) |
| ReDIB-2020-a-12 | Imaging La Fe | Estudio del rendimiento diagnóstico de la PET/RM [68Ga]Ga-DOTA-TOC en la detección de enfermedad local y a distancia por feocromocitomas y paragangliomas, y su implicación en cambios en la estrategia terapéutica |
| ReDIB-2020-a-13 | Oceanográfic | Active sensing in echolocating marine mammals |
| ReDIB-2020-a-14 | IIS La Fe | Multicentre prospective study of diagnostic accuracy for quantification by Magnetic Resonance multiparametric imaging of liver fibrosis, inflammation, steatosis, iron and vascular resistance |
Distributed Biomedical Imaging Network