Publications by authors named "M C Keen"

Objectives: Monitoring body composition can help to optimize performance in female athletes. This study aimed to create a conversion equation between dual-energy X-ray absorptiometry-measured body fat percentage and ultrasound-measured subcutaneous thigh fat thickness in Division I female athletes as a more accessible, cost-effective alternative.

Design: Cross-sectional study.

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Epitope mapping is a technique employed to define the region of an antigen that elicits an immune response, providing crucial insight into the structural architecture of the antigen as well as epitope-paratope interactions. With this breadth of knowledge, immunotherapies, diagnostics, and vaccines are being developed with a rational and data-supported design. Traditional epitope mapping methods are laborious, time-intensive, and often lack the ability to screen proteins in a high-throughput manner or provide high resolution.

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Introduction: Little is known about how frequently family medicine (FM) clerkship directors remediate faculty with student mistreatment concerns and their comfort level in performing the remediations. In this exploratory study, we investigated factors associated with the number of faculty remediated for student mistreatment concerns by FM clerkship directors and the comfort level of FM clerkship directors in remediating these faculty.

Methods: Data were collected as part of the 2022 Council of Academic Family Medicine Educational Research Alliance (CERA) survey of FM clerkship directors.

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This article aims to provide an overview of areas impacting adolescent well-being, offering input and sensible parenting tips. The article is structured into 5 key components that are critical in adolescent life including social media use, nutrition and physical activity, discipline, mental health, and sexual health.

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Background: Diagnosis of cardiac amyloidosis (CA) is often delayed due to variability in clinical presentation. The electrocardiogram (ECG) is one of the most common and widely available tools for assessing cardiovascular diseases. Artificial intelligence (AI) models analyzing ECG have recently been developed to detect CA, but their pooled accuracy is yet to be evaluated.

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