REAL-WORLD EFFECTIVENESS OF ANTI-CGRP MONOCLONAL ANTIBODIES COMPARED TO ONABOTULINUMTOXINA (RAMO) IN CHRONIC MIGRAINE: A RETROSPECTIVE, OBSERVATIONAL, MULTICENTER, COHORT STUDY

Abstract Background Chronic migraine (CM) is a disabling condition with high prevalence in the general population.Until the recent approval of monoclonal antibodies targeting the calcitonin gene-related peptide (Anti-CGRP mAbs), OnabotulinumtoxinA (BoNT-A) was the only treatment specifically approved for CM prophylaxis.Direct comparisons between th

Quantum Neural Networks (QNN) are considered a candidate for achieving quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era.Several QNN architectures have been proposed and successfully tested on benchmark datasets for machine learning.However, quantitative studies of the QNN-generated entanglement have been investigated on

MADS-box genes play a crucial role in fruit ripening, yet limited research has been conducted on mango.Based on the conserved domains of this gene family, 84 MADS-box genes were identified in the mango genome, including 22 type I and 62 type II MADS-box genes.Gene duplication analysis revealed that both tandem duplication and segmental replication

Epidemiological studies of drug misusers have until recently relied ORG BUTTER BEANS on two main forms of sampling: probability and convenience.The former has been used when the aim was simply to estimate the prevalence of the condition and the latter when in depth studies of the characteristics, profiles and behaviour of drug users were required,

Following Gear Module Assembly up on our previous study on applying hierarchical clustering algorithms to high energy particle physics, this paper explores the possibilities to use deep learning to generate models capable of processing the clusterization themselves.The technique chosen for training is reinforcement learning, that allows the system