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    Leveraging Large Language Models for High-Quality Lay Summaries: Efficacy of ChatGPT-4 with Custom Prompts in a Consecutive Series of Prostate Cancer Manuscripts by Emily Rinderknecht, Anna Schmelzer, Anton Kravchuk, Christopher Goßler, Johannes Breyer, Christian Gilfrich, Maximilian Burger, Simon Engelmann, Veronika Saberi, Clemens Kirschner, Dominik von Winning, Roman Mayr, Christian Wülfing, Hendrik Borgmann, Stephan Buse, Maximilian Haas, Matthias May

    Published 2025-02-01
    “…This study aimed to evaluate whether ChatGPT-4 can generate high-quality lay summaries that are both accurate and comprehensible for prostate cancer research in <i>Current Oncology</i>. To achieve this, it systematically assessed ChatGPT-4’s ability to summarize 80 prostate cancer articles published in the journal between July 2022 and June 2024 using two distinct prompt designs: a basic “simple” prompt and an enhanced “extended” prompt. …”
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    A new frontier in neuropharmacology: Recent progress in natural products research for blood–brain barrier crossing by Ureña-Vacas Isabel, Aznar de la Riera M. Belén, Serrano Dolores R, González-Burgos Elena

    Published 2024-01-01
    “…To better understand the behavior of natural products in humans and improve their ability to pass across the blood-brainier, the development of new three-dimensional and dynamic models of the BBB, new nanosystems complexes for encapsulation or in-depth studies of the transport mechanism are current and future lines of research.…”
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    Collaboration of hairy root culture and scale-up strategies for enhancing the biosynthesis of medicinal and defensive alkaloids in Papaver sp. by Zahra Aghaali, Mohammad Reza Naghavi, Meisam Zargar

    Published 2024-12-01
    “…The Papaver genus is famous for its ability to biosynthesize a wide variety of secondary metabolites, including benzylisoquinoline alkaloids (BIAs) which have been prescribed to treat several health issues, ranging from cough to cancer. …”
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    Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

    Published 2025-06-01
    “…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
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