Publications by authors named "J Flynn"

Background: The rise in xylazine-adulterated heroin and fentanyl poses novel challenges to hand surgeons and a rising epidemic of necrotic upper-extremity wounds. While prior case studies have focused on particularly severe and complex xylazine-associated necrotic (XAN) wounds, the aim of this consecutive case series was to characterize the variability of presentations (ranging from mild to severe) at a single institution at the epicenter of the xylazine epidemic.

Methods: Patients presenting to a tertiary referral center for XAN upper-extremity wounds were retrospectively identified from emergency department visits and hospital admissions between January 2021 and December 2023.

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Article Synopsis
  • - The article discusses how AI-enabled social media listening (SML) can enhance patient-focused drug development (PFDD) by incorporating patient feedback from online platforms on their treatment experiences and needs.
  • - It introduces a new workflow that combines human expertise and AI techniques like natural language processing (NLP) to analyze patient and caregiver posts, transforming large data sets into useful insights for drug development.
  • - Two studies on patients with head and neck and esophageal cancers were conducted to test this workflow, emphasizing the importance of refining AI algorithms to ensure the accuracy and quality of the data collected, ultimately improving the rigor of SML studies in PFDD.
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Chimeric Antigen Receptor (CAR) T cells targeting CD19 induce durable remissions in patients with relapsed or refractory non-Hodgkin lymphoma (NHL), but many patients experience treatmentrelated toxicity. Cytokine release syndrome and immune effector cell-associated neurologic syndrome are extensively characterized. However, limited data exist on the burden, predictors, and implications of acute kidney injury (AKI) after CAR T cell therapy.

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Dominant negative (DN) mutations provide valuable tools for investigating protein mechanisms but can be difficult to isolate because of their toxic effects. We used a mutational scanning approach to identify DN mutations in yeast Hsp90. In a previous mutational scan of the ATPase domain of Hsp90, we noticed that many mutations were at very low frequency after outgrowth in cells coexpressing wildtype Hsp90.

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