Publications by authors named "J S Gregory"

Batrachochytrium dendrobatidis (Bd) is responsible for mass extinctions and extirpations of amphibians, mainly driven by the Global Panzootic Lineage (BdGPL). BdGPL isolate JEL423 is a commonly used reference strain in studies exploring the evolution, epidemiology and pathogenicity of chytrid pathogens. These studies have been hampered by the fragmented, erroneous and incomplete B.

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Objectives: This study evaluates the prognostic value of tumor response on CT at 3 months, assessed by Response Evaluation Criteria in Solid Tumors (RECIST), modified RECIST (mRECIST), and Liver Imaging Reporting and Data System Treatment Response Algorithm (LR-TRA) in patients with hepatocellular carcinoma (HCC) treated with selective internal radiation therapy (SIRT).

Materials And Methods: A retrospective analysis was conducted on 102 HCC patients treated with SIRT between 2018 and 2020. RECIST, mRECIST, and LR-TRA were assessed at 3 months post-SIRT.

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Rare B cells can have special pathogen-recognition features giving them the potential to make outsized contributions to protective immunity. However, rare naive B cells infrequently participate in immune responses. We investigated how germline-targeting vaccine antigen delivery and adjuvant selection affect priming of exceptionally rare BG18-like HIV broadly neutralizing antibody-precursor B cells (~1 in 50 million) in non-human primates.

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Background: Patients with locally advanced non-small-cell lung cancer (NSCLC) who undergo concurrent chemotherapy and radiotherapy often experience synergistic toxicity, and local regional control rates remain poor. We assessed the activity and safety outcomes of primary tumour stereotactic body radiotherapy (SBRT) followed by conventional chemoradiotherapy to the lymph nodes and consolidation immunotherapy in patients with unresectable locally advanced NSCLC.

Methods: In this multicentre, single-arm, phase 2 trial, patients aged 18 years and older were enrolled at eight regional cancer centres in North Carolina and South Carolina, USA.

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Objectives: These data enable the development of machine learned models to detect unintended passage of salmonids over in-stream barriers. Such models are key to fully characterizing the effectiveness of selective passage systems, as they detect and quantify fish passage which occurs outside of the intended transit passage and selection mechanism. These data were used to construct custom surveillance tools for FishPass ( https://www.

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