Most common diseases are influenced by multiple gene interactions and interactions with the environment. Performing an exhaustive search to identify such interactions is computationally expensive and needs to address the…read more
Abstract: Automated voice-based detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone recordings from 88 subjects was recently collected.…read more
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson’s Disease: What Counts?
Gait may be a useful biomarker that can be objectively measured with wearable technology to classify Parkinson’s disease (PD). This study aims to: (i) comprehensively quantify a battery of commonly…read more
Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren’s Syndrome Patients
Lymphoma development constitutes one of the most serious clinico-pathological manifestations of patients with Sjögren’s Syndrome (SS). Over the last decades the risk for lymphomagenesis in SS patients has been studied…read more