Publications by authors named "J G McFarland"

Introduction: Declared a global pandemic by the World Health Organization (WHO) in March 2020, the COVID-19 virus and attendant patchwork of local, regional, and national government-initiated public health responses to it unexpectedly opened possibilities for greater access to culture for disabled and chronically ill people in ways that were unimagined in pre-pandemic times. During the "emergency" period of the pandemic, the fields of critical disability studies and aging studies independently demonstrated the importance and value of shifting to digital technologies for disabled people and older adults respectively; however, to date, little scholarship has considered the value of digital technologies for older adults aging with and into disabilities beyond pandemic time.

Methods: Informed by the theoretical insights of scholarship exploring critical access and the aging-disability nexus, this paper draws from empirical data collected during Phase 2 of Direct[Message]: Digital Access to Artistic Engagement, a collaborative, community-based, arts-informed research project based in Southwestern Ontario (Canada).

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The MCL1 gene is frequently amplified in cancer and codes for the antiapoptotic protein myeloid cell leukemia 1 (MCL1), which confers resistance to the current standard of care. Therefore, MCL1 is an attractive anticancer target. Here we describe BRD-810 as a potent and selective MCL1 inhibitor and its key design principle of rapid systemic clearance to potentially minimize area under the curve-driven toxicities associated with MCL1 inhibition.

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Reducing disparities is vital for equitable access to precision treatments in cancer. Socioenvironmental factors are a major driver of disparities, but differences in genetic variation likely also contribute. The impact of genetic ancestry on prioritization of cancer targets in drug discovery pipelines has not been systematically explored due to the absence of pre-clinical data at the appropriate scale.

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Understanding the functional connectivity between brain regions and its emergent dynamics is a central challenge. Here we present a theory-experiment hybrid approach involving iteration between a minimal computational model and in vivo electrophysiological measurements. Our model not only predicted spontaneous persistent activity (SPA) during Up-Down-State oscillations, but also inactivity (SPI), which has never been reported.

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Background: This retrospective study, conducted using the U.S. National Inpatient Sample (NIS), examines the outcomes and management of nonvariceal upper gastrointestinal bleeding (NVUGIB) in COVID-19 patients and identifies predictive factors to enhance patient prognosis.

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