Explore the future of Digital Healthcare: artificial intelligence, big data, and innovative technologies for health and well-being.
Automatic assessment of speech impairment is a cutting edge topic in Parkinson’s disease (PD). Language disorders are known to occur several years earlier than typical motor symptoms, thus speech analysis may contribute to the early diagnosis of the disease. Moreover, the remote monitoring of dysphonia could allow achieving an effective follow-up of PD clinical condition, possibly performed in the home environment.
Early detection of stress can prevent long-term consequences for people's health, the economy, and society.
The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL), and untextured (NTL) 3D facial models.
The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs.
As we announced a few weeks ago, the launch of MS humanAId by Emme Esse has seen synbrAIn's active involvement in developing a system that leverages artificial intelligence to support diagnostic image analysis. Specifically, the development of the AID CHEST XR PNEUMO module…
The non-profit organization Cancro Primo Aiuto has acquired the MS humanAId platform, developed by EMME ESSE, a synbrAIn partner, to donate it to ASST Brianza, enabling its deployment in additional hospitals across Lombardy. With MS humanAId, radiologists will have access to a range…
Glioma is a type of heterogeneous tumor originating in the brain, characterized by the coexistence of multiple subregions with different phenotypic characteristics, which further determine heterogeneous profiles, likely to respond variably to treatment. Identifying spatial variations of gliomas is necessary for targeted therapy.
ImageCLEF is an international initiative organized by the CLEF initiative lab, aimed at fostering the development of new AI and machine learning-based solutions to address challenges in the healthcare and medical domains. This year’s edition focused on developing the best possible solution for…
Among the various collaborations initiated by synbrAIn, one stands out as particularly significant in the healthcare sector: its partnership with Emme Esse. Emme Esse is a company with over 40 years of experience in developing electronic solutions across various industries, including healthcare, specializing…
Lung cancer is a severe disease that leads to a high number of fatalities. Among all types of cancer, it is the leading cause of cancer-related deaths worldwide. The symptoms of lung cancer typically appear in advanced stages, when treatment options are less…
