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English(EN) Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization

AI加速长效注射剂的药物制剂开发

作者 PulseAugur 编辑部 · [1 个来源] ·

Corbion N.V. 和 Intrepid 合作，利用AI加速长效注射剂药物制剂的开发。他们的联合努力结合了Corbion的PURASORB聚合物库和Intrepid Labs的AI算法ANDROMEDA 1，以优化药物载量、释放动力学和其他关键因素。这种AI驱动的方法在约15周内成功确定了四种有前景的候选制剂，显著加速了药物开发过程。 AI

影响 AI驱动的优化显著加快了可行药物制剂的识别速度，降低了开发时间和成本。

排序理由 该集群描述了一篇详细介绍AI在药物制剂优化中应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI加速长效注射剂的药物制剂开发

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该集群描述了一篇详细介绍AI在药物制剂优化中应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pauric Bannigan, Siddarth Chandrasekaran, Brigitte A. G. Lamers, Inge Hermsen, Gary Tom, Riley J. Hickman, Bahar Yeniad, Morgan Fox, Christine Allen ·

    通过AI驱动的多目标优化加速PLGA原位形成储库的开发

    arXiv:2610.08368v1 Announce Type: cross Abstract: Developing long-acting injectable formulations requires the simultaneous optimization of drug loading, release kinetics, viscosity, injectability, stability and other objectives. To navigate this multidimensional space, Corbion an…

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