Publications by authors named "E A Laws"

Purpose: A recent update of consensus guidelines for the management of Cushing's disease (CD) included indications for medical therapy. However, there is limited evidence regarding their implementation in clinical practice. This study aimed to evaluate current medical therapy approaches by expert pituitary centers through an audit conducted to validate the criteria of Pituitary Tumors Centers of Excellence (PTCOEs) and provide an initial standard of medical care for CD.

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The chemistry of the extracellular electron transfer (EET) process in microorganisms can be understood by interfacing them with abiotic materials that act as external redox mediators. These mediators capture and transfer extracellular electrons through redox reactions, bridging the microorganism and the electrode surface. Understanding this charge transfer process is essential for designing biocapacitors capable of modulating and storing charge signatures as capacitance at the electrode interface.

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Purpose: The objective of this study was to characterize the clinical characteristics and factors predictive of biochemical remission in patients with symptomatic acromegaly undergoing transsphenoidal surgery (TSS) at an academic tertiary care center, as defined by the 2022 Acromegaly Consensus Conference guidelines.

Methods: In this single institution, longitudinal, retrospective study, a large cohort of 158 patients with a preoperative diagnosis of acromegaly undergoing surgery at a large, academic, tertiary care center were examined. We excluded 38 patients as IGF-1 testing was performed less than 12 weeks postoperatively.

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Article Synopsis
  • There is a significant risk of reinforcing existing health inequalities in AI health technologies due to biases, primarily stemming from the datasets used.
  • The STANDING Together recommendations focus on transparency in health datasets and proactive evaluation of their impacts on different population groups, informed by a comprehensive research process with over 350 global contributors.
  • The 29 recommendations are divided into guidance for documenting health datasets and strategies for using them, aiming to identify and reduce algorithmic biases while promoting awareness of the inherent limitations in all datasets.
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