Robust and language-independent acoustic features in Parkinson’s disease
The analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring.
Scopri come l’Intelligenza Artificiale sta trasformando il mondo: dalle reti neurali ai modelli predittivi, il futuro dell’innovazione è qui.
Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space
Parkinson’s disease (PD) is one of the most widespread neurodegenerative diseases worldwide, affected by a number of alterations, among which speech impairments that, interestingly, manifests up to 10 years before other major evidences (e.g. motor impairments).
Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison
Parkinson’s Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervous system.
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
The aim of the study is to show whether it is possible to predict infectious disease outbreaks early, by using machine learning.
A Fuzzy-Based Clinical Decision Support System for Coeliac Disease
Coeliac disease (CD) is a permanent inflammatory disease of the small intestine characterized by the destruction of the mucous membrane of this intestinal tract. Coeliac disease represents the most frequent food intolerance and affects about 1% of the population, but it is severely underdiagnosed.
Recognizing the Emergent and Submerged Iceberg of the Celiac Disease: ITAMA Project — Global Strategy Protocol
Coeliac disease (CD) is frequently underdiagnosed with a consequent heavy burden in terms of morbidity and health care costs. Diagnosis of CD is based on the evaluation of symptoms and anti-transglutaminase antibodies IgA (TGA-IgA) levels, with values above a tenfold increase being the basis of the biopsy-free diagnostic approach suggested by present guidelines.
Single-Channel EEG Detection of REM Sleep Behaviour Disorder: The Influence of REM and Slow Wave Sleep
Sleep Disorders have received much attention in recent years, as they are related to the risk and pathogenesis of neurodegenerative diseases. Notably, REM Sleep Behaviour Disorder (RBD) is considered an early symptom of α-synucleinopathies, with a conversion rate to Parkinson’s Disease (PD) up to 90%.
Rivitalizzare le attività di regressione tramite moderne procedure di training. Applicazioni nell’analisi delle immagini mediche
Questo lavoro descrive un approccio per stimare la percentuale di infezione specifica da COVID-19 nel tessuto polmonare.
Speech Impairment in Parkinson’s Disease: Acoustic Analysis of Unvoiced Consonants in Italian Native Speakers
The study of the influence of Parkinson’s Disease (PD) on vocal signals has received much attention over the last decades. Increasing interest has been devoted to articulation and acoustic characterization of different phonemes.
COVID-X finanzierà un nuovo progetto di synbrAIn
Nell’ambito del continuo processo di innovazione che contraddistingue il lavoro quotidiano del team di synbrAIn, nasce il progetto AIDE-X, acronimo che ne riassume il nome completo: Artificial Intelligence for Early Detection of Lungs Diseases from chest RX Images. Si tratta di un progetto…