Publications by authors named "C P Fuller"

Background: Gratitude interventions are used to cultivate a sense of gratitude for life and others. There have been mixed results of the efficacy of gratitude interventions' effect on psychological well-being with a variety of populations and methodologies.

Objectives: The objective of our study was to test the effectiveness of a gratitude intervention smartphone app on university students' psychological well-being.

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Background: Quantifying head and neck lymphedema and fibrosis (HN-LEF) is crucial in the investigation and management of treatment sequelae in head and neck cancer (HNC).

Methods: The T1- and T2-weighted MRI signal intensity (SI) was examined in relation to HN-LEF categories per physical/tactile examination (No-LEF, A-B = edema, C = edema + fibrosis, D = fibrosis), and MRI structural volumes were examined in relation to a novel 10-point HN-LEF score in the intraoral and submental regions.

Results: We identified differences in ranks among HN-LEF categories in relation to the MRI SI (A-B and C are higher than D and No-LEF for T2 SI, and A-B is the highest for T1).

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Article Synopsis
  • Inflammasomes are important protein complexes in the immune system, and their malfunction is connected to various health issues, necessitating targeted treatments based on specific diseases.
  • Researchers developed a sophisticated imaging assay for human immune cells, utilizing machine learning and cell biology techniques to analyze cellular responses related to inflammasome activity.
  • This approach successfully identified over 100 distinct inflammasome inhibitors from a large library of compounds, showcasing the potential for machine learning to enhance the understanding of complex biological processes and aid in drug discovery.
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The bioavailability of small-molecule drugs remains a critical challenge in pharmaceutical development, significantly impacting therapeutic efficacy and commercial viability. This review synthesizes recent advances in understanding and overcoming bioavailability limitations, focusing on key physicochemical and biological factors influencing drug absorption and distribution. We examine cutting-edge strategies for enhancing bioavailability, including innovative formulation approaches, rational structural modifications, and the application of artificial intelligence in drug design.

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