News
Challenge Everesting: pedalling for glioblastoma research
The aim of this cycling challenge is to raise €4,000 for glioblastoma research through donations on the crowdfunding platform “Mi grano de arena”
Severe periodontitis quadruples the risk of developing diabetes
A close relationship between the two diseases has long been suggested, but now a team of researchers has shown that severe periodontitis increases the likelihood of diabetes fourfold
The first Innovation Conference on the Diagnosis and Treatment of Lung Cancer Patients at Bellvitge Campus takes place
During the day there will be a series of talks organised into three thematic blocks: diagnosis and extension studies, treatment of early disease and treatment of advanced cancer.
Researchers identify an immunomodulatory drug as a potential treatment for Parkinson’s disease
Astrocytes in the brains of Parkinson’s patients overexpress the inflammatory cytokine IL-6, which induces the death of dopaminergic neurons. The results have been obtained thanks to obtaining induced pluripotent stem cells from Parkinson’s patients.
Genetic testing improves diagnosis of the causes of epilepsy
Gene panel studies coordinated between IDIBELL and HUB have achieved that 28% more patients have a definitive diagnosis
IDIBELL successfully celebrates the 7th edition of the SLHam of Women Scientists
The public completely filled the Auditori Barradas to commemorate World Day of Women and Girls in Science
An anticancer drug opens a new path for the treatment of Parkinson’s
The metabolic product of an anticancer drug demonstrates potential activity in neurons derived from Parkinson’s patients and a synergistic action, together with the original drug, in prostate cancer cells.
Swim for ELA, IDIBELL and Bellvitge Hospital, together against ALS
The association based in Cambrils visited yesterday the new IDIBELL neurological diseases laboratory and presented a generous solidarity check
New machine learning tool that predicts the evolution of OCD patients
The IDIBELL Psychiatry and Mental Health group has carried out the first study that relates clinical information with long-term prognosis through machine learning.