An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine.

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作者： Marina,Romozzi ^[1] ; Ammar,Lokhandwala ^[2] ; Catello,Vollono ^[1] ; Giulia,Vigani ^[3] ; Andrea,Burgalassi ^[4] ; David,García-Azorín ^[5] ; Paolo,Calabresi ^[1] ; Alberto,Chiarugi ^[4] ; Pierangelo,Geppetti ^[6] ; Luigi Francesco,Iannone ^[3]

作者单位： Dipartimento Universitario di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy.;Neurologia, Dipartimento di Neuroscienze, Organi di Senso e Torace, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. ^[1] Department of Computer Science, Drexel University, Philadelphia, PA. ^[2] Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy. ^[3] Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy.;Headache Center and Clinical Pharmacology Unit, Careggi University Hospital, Florence, Italy. ^[4] Headache Unit, Department of Neurology, Hospital Clinico Universitario de Valladolid, Valladolid, Spain.;Department of Medicine, Dermatology and Toxicology, Faculty of Medicine, University of Valladolid, Valladolid, Spain. ^[5] Section of Clinical Pharmacology and Oncology, Department of Health Sciences, University of Florence, Florence, Italy.;Department of Pathobiology, School of Dentistry, New York University, New York, NY, USA. ^[6]

关键词 CGRP artificial intelligence machine learning migraine monoclonal antibodies