Publications by authors named "A Favaro"

: Abnormalities in patellar tracking, often overlooked in surgical planning, have been identified as a contributing factor to total knee arthroplasty (TKA) complications, including anterior knee pain, patellar subluxation, and dislocation. This study aims to evaluate the repeatability of a novel intraoperative setup for assessing patellofemoral kinematics and its interaction with prosthesis design and positioning during surgery. This setup may support personalized alignment techniques in TKA, potentially improving surgical outcomes.

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Objective: Sleep disorders (SD) are prevalent in people with HIV (PWH), but poorly addressed in HIV care. We evaluated the effectiveness of a multidimensional program for SD in an outpatient HIV clinic.

Methods: Interventional study in 175 PWH on ART suffering from insomnia.

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Article Synopsis
  • * The study proposes a new evaluation method that analyzes patient interactions and behaviors using eye movement and speech data during tests like the Stroop Test, improving the depth of insights beyond traditional measures.
  • * Findings reveal distinct metrics for different NDs, enhancing diagnosis and correlating with clinical scales, suggesting this comprehensive approach could improve diagnostic accuracy and patient care in neurodegenerative disorders.
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Objective: To identify the COVID-19 pandemic impact on well-being/mental health, coping strategies, and risk factors in adolescents worldwide.

Method: This study was based on an anonymous online multi-national/multi-language survey in the general population (representative/weighted non-representative samples, 14-17 years of age), measuring change in well-being (World Health Organization-Five Well-Being Index [WHO-5]/range = 0-100) and psychopathology (validated composite P-score/range = 0-100), WHO-5 <50 and <29, pre- vs during COVID-19 pandemic (April 26, 2020-June 26, 2022). Coping strategies and 9 a priori- defined individual/cumulative risk factors were measured.

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Numerous studies proposed methods to detect Parkinson's disease (PD) via speech analysis. However, existing corpora often lack prodromal recordings, have small sample sizes, and lack longitudinal data. Speech samples from celebrities who publicly disclosed their PD diagnosis provide longitudinal data, allowing the creation of a new corpus, ParkCeleb.

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