The LPI, in collaboration with the Headache Unit of Hospital Clínico Universitario de Valladolid, has assessed structural gray matter and white matter changes in patients with persistent headache after the acute phase of COVID-19 in comparison with healthy controls and patients with episodic migraine (EM) and chronic migraine (CM).

Artificial Intelligence has enabled two pre-doctoral researchers at the University of Valladolid, Rafael Navarro and Elisa Moya, to generate synthetic images that can be used in combination with those adquired in an MRI scaner in a radiomic system for survival prediction of patients with glioblastoma.

The LPi is organizing an official Challenge inside MICCAI 2022: "Quality augmentation in diffusion MRI for clinical studies: Validation in migraine" (QuaD22). The challenge seeks to answer the question: “Are we losing relevant quantitative clinical information when generating high-quality images with artificial intelligence techniques?” More information in the official webpage [here]

Santiago Aja and Antonio Tristán have been interviewed for MRM Highlights about their paper entitled “Accurate free-water estimation in white matter from fast diffusion MRI acquisitions”, whoch has been selected pick of the month (January 2022).  Editor claims that "[they] chose this paper because the authors demonstrated exemplary reproducible research practices; in particular, in the context of a larger software tool that they developed and manage (dMRI-Lab), they shared tools developed as part of this work." Complete interview is available here.

A multidisciplinary team of scientists based at the Universidad de Valladolid and the Centro Nacional de Investigaciones Cardiovasculares (CNIC) has developed a highly efficient method for identifying the 3-dimensional features of the scar tissue formed after a myocardial infarction.