Publications by authors named "B M Loftus"

Context: The Good Health & Great Hair program was developed by Kaiser Permanente in partnership with a network of trusted neighborhood barbershops and beauty salons in West Baltimore, Maryland.

Program: The initiative aimed to increase health awareness and knowledge and reduce health disparities by making no-cost health care services available beyond traditional health care settings in predominantly Black, historically redlined neighborhoods in West Baltimore.

Implementation: This initiative, established by an integrated health care system, is the first to utilize mobile health clinics into a holistic community health outreach program in partnership with barbershops and beauty salons to provide medical and social services to underserved populations.

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Study Question: Which transcriptomic alterations in mid-luteal endometrial scratch biopsies, taken prior to the assisted reproductive treatment (ART) treatment cycle are associated with unsuccessful pregnancy?

Summary Answer: Dysregulated interleukin-17 (IL-17) pathway components are demonstrated in women who fail to become pregnant after ART.

What Is Known Already: Implantation failure is now recognised as a critical factor in unexplained infertility and may be an important component of failed ART.

Study Design, Size, Duration: Using a prospective longitudinal study design, 29 nulliparous women with unexplained infertility undergoing ART were recruited between October 2016 and February 2018.

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National policy initiatives and the advent of highly efficacious direct-acting antivirals set the stage to increase the identification and care of patients with hepatitis C virus (HCV). We implemented a multifaceted HCV care pathway, inclusive of automated screening alerts for all patients born between 1945 and 1965 as they are registered for appointments, reflex laboratory orders for positive HCV antibody results, and a care coordinator to facilitate diagnosis communication and engagement in follow-up care. We report the impact of that pathway on HCV screening, confirmation, diagnosis communication, and co-infection screening.

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Background: Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environments. Here, to computationally infer the gene regulatory network for Mycobacterium abscessus we propose a novel statistical computational modelling approach: BayesIan gene regulatory Networks inferreD via gene coExpression and compaRative genomics (BINDER).

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