Open AccessSUPERVISED AND UNSUPERVISED LEARNING TO DEFINE THE CARDIOVASCULAR RISK OF PATIENTS ACCORDING TO AN EXTRACELLULAR VESICLE MOLECULAR SIGNATURE
Author(s) -
Jacopo Burrello,
Alessio Burrello,
Elena Vacchi,
Giovanni Bianco,
Elena Caporali,
Lorenzo Grazioli,
Martina Amongero,
Sara Bolis,
Giuseppe Vassalli,
Carlo Cereda,
Paolo Mulatero,
Benedetta Bussolati,
Giorgia Melli,
Giovanni G. Camici,
Silvia Monticone,
Lucio Barile
Publication year - 2022
Publication title -
journal of hypertension
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.249
H-Index - 172
eISSN - 1473-5598
pISSN - 0263-6352
DOI - 10.1097/01.hjh.0000836712.81943.92
Subject(s) - medicine , signature (topology) , extracellular vesicles , extracellular vesicle , extracellular , computational biology , artificial intelligence , microvesicles , microbiology and biotechnology , biochemistry , gene , microrna , chemistry , geometry , mathematics , computer science , biology