Publications by authors named "F Bottari"

The introduction of self-sampling in cervical cancer screening has raised the importance of HPV test validation on self-collected samples. This study aimed to evaluate the clinical accuracy of the OncoPredict HPV Screening (SCR) assay on self-collected vaginal and first-void urine (FVU) samples, relative to cervical specimens, using the VALHUDES Framework. FVU and vaginal self-samples followed by a clinician-collected cervical brushing were collected from 500 women referred to colposcopy and tested using OncoPredict HPV SCR assay.

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Article Synopsis
  • The VALHUDES initiative aimed to evaluate the effectiveness of self-collected urine and vaginal samples for detecting cervical precancers compared to traditional clinician-collected cervical samples using the OncoPredict HPV Quantitative Typing assay.
  • A study involving 490 women showed that the clinical sensitivity for detecting cervical intraepithelial neoplasia (CIN2+) was comparable between self-collected samples and cervical samples, but specificity was lower for both self-collection methods.
  • After optimizing the testing criteria, the OncoPredict HPV QT assay showed similar accuracy in diagnosing cervical precancers from self-collected samples as from clinician-collected cervical samples.
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In anticipation of potential future pandemics, we examined the challenges and opportunities presented by the COVID-19 outbreak. This analysis highlights how artificial intelligence (AI) and predictive models can support both patients and clinicians in managing subsequent infectious diseases, and how legislators and policymakers could support these efforts, to bring learning healthcare system (LHS) from guidelines to real-world implementation. This report chronicles the trajectory of the COVID-19 pandemic, emphasizing the diverse data sets generated throughout its course.

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Unlabelled: This study assessed the accuracy of high-risk human papillomavirus testing of BD Onclarity HPV (Onclarity) assay on vaginal self-collected FLOQSwab versus cervical samples to ensure similar accuracy to detect cervical intraepithelial neoplasia. Testing was performed on two automated platforms, BD Viper LT and BD COR, to evaluate the effect of machine and using two vaginal self-samples to analyze the influence of collection, transport, and freezing-unfreezing on the results. A cervical sample and two self-samples were collected from 300 women.

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Article Synopsis
  • * Researchers analyzed data from 469 women at the European Institute of Oncology and found that a higher diversity of high-risk HPV types is linked to younger age and lower histologic grades of cervical lesions.
  • * The results indicate that the richness of HPV genotypes and biodiversity of cervical dysplasias could be important factors in predicting high-grade cervical lesions, which may lead to more personalized treatment approaches for patients.
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