Scopri il deep learning: reti neurali avanzate, applicazioni AI e il ruolo chiave di questa tecnologia nel futuro dell’innovazione.
Evidence is rapidly accumulating that multifactorial nocturnal monitoring, through the coupling of wearable devices and deep learning, may be disruptive for early diagnosis and assessment of sleep disorders.
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.
Recent advances in single-cell RNA-sequencing in order to study cells in biology, and the increasing amount of data available, led to the development of algorithms for analyzing single cells from gene expression data.
SenticLab ha sviluppato una nuova soluzione che sfrutta l'intelligenza artificiale ed il deep learning per rilevare il COVID-19 da immagini tomografiche.
The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs.
Dopo il lancio della piattaforma MS humanAId da parte di EMME ESSE, e il coinvolgimento di synbrAIn nello sviluppo dei moduli di AI, la partnership rappresenta l’inizio di un cammino all’insegna della cooperazione uomo-macchina.
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.
SenticLab, partner di ricerca di synbrAIn, ha implementato una soluzione in grado di riconoscere il tipo di tubercolosi a partire da immagini radiografiche.
The paper presents and comparatively analyses several deep learning approaches to automatically detect tuberculosis related lesions in lung CTs, in the context of the ImageClef 2020 Tuberculosis task.