Publications by authors named "W Rubinstein"

Introduction: Multicancer detection tests (MCDs) are blood-based tests designed to detect multiple cancer types. It is currently unclear whether these cancer screening tests improve mortality. To understand awareness of MCDs among providers and patients, as well as explore how they perceive the benefits, harms, and acceptability of MCDs, we have undertaken a focus group study in primary care physicians (PCPs) and laypersons to explore knowledge, attitudes, and expectations of cancer screening using MCDs.

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Background: The National Cancer Institute Cancer Screening Research Network is launching a pilot study (Vanguard) to determine feasibility of successful completion of a clinical trial of multicancer detection tests. This focus group study reports perceptions of primary care physicians and laypersons of different clinical trial designs and willingness to participate in a multicancer detection clinical trial.

Methods: We undertook 14 focus groups with 88 laypersons and 6 focus groups with 45 primary care physicians.

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In the United States, 2.0 million new cancer cases and around 600,000 cancer deaths are estimated to occur in 2024. Early detection gives cancer patients the best chance for treatment success.

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Introduction: Parkinson's disease is characterised by the presence of motor symptoms including hypomimia, and by non-motor symptoms including alterations in facial recognition of basic emotions. Few studies have investigated this alteration and its relationship to the severity of hypomimia.

Objective: The objective is to study the relationship between hypomimia and the facial recognition of basic emotions in subjects with Parkinson's disease.

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The National Institutes of Health-US Food and Drug Administration Joint Leadership Council Next-Generation Sequencing and Radiomics Working Group was formed by the National Institutes of Health-Food and Drug Administration Joint Leadership Council to promote the development and validation of innovative next-generation sequencing tests, radiomic tools, and associated data analysis and interpretation enhanced by artificial intelligence and machine learning technologies. A 2-day workshop was held on September 29-30, 2021, to convene members of the scientific community to discuss how to overcome the "ground truth" gap that has frequently been acknowledged as 1 of the limiting factors impeding high-quality research, development, validation, and regulatory science in these fields. This report provides a summary of the resource gaps identified by the working group and attendees, highlights existing resources and the ways they can potentially be employed to accelerate growth in these fields, and presents opportunities to support next-generation sequencing and radiomic tool development and validation using technologies such as artificial intelligence and machine learning.

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