Showing 1 - 20 results of 114 for search '(( pai a decrease ) OR ( ai ((large decrease) OR (((larger decrease) OR (marked decrease)))) ))', query time: 0.62s Refine Results
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    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…These results demonstrate PAI as a simple imaging strategy that could allow dose optimization in pharmaceutical development and patient-specific dosing for molecular therapeutics.…”
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    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…These results demonstrate PAI as a simple imaging strategy that could allow dose optimization in pharmaceutical development and patient-specific dosing for molecular therapeutics.…”
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    Dynamic Tracking of <i>In Vivo</i> Receptor Availability in Tumor Using Paired-Agent Imaging by Yichen Feng (450964)

    Published 2025
    “…These results demonstrate PAI as a simple imaging strategy that could allow dose optimization in pharmaceutical development and patient-specific dosing for molecular therapeutics.…”
  9. 9

    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Supplementary file 1_Mechanistic insights into the PAI-1 inhibitor PAItrap3: enhancing lipid metabolism in adipose tissue of diabetic db/db mice.xlsx by Linxi Wang (3068649)

    Published 2025
    “…Objective<p>This study aimed to investigate the effects of PAItrap3, a novel PAI-1 inhibitor, on lipid metabolism, and autophagy pathways in diabetic mice.…”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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