Department of Social Pharmacy, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
Chair of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy. Jagiellonian University Medical College, Medyczna 9, 30-688 Kraków, Poland.
Drug Discov Today. 2023 Oct;28(10):103731. doi: 10.1016/j.drudis.2023.103731. Epub 2023 Aug 2.
Precision medicine requires selecting the appropriate dosage regimen for a patient using the right drug, at the right time. Model-Informed Precision Dosing (MIPD) is a concept suggesting utilization of model-based prediction methods for optimizing the treatment benefit-harm balance, based on individual characteristics of the patient, disease, treatment method, and other factors. Here, we discuss a theoretical workflow comprising several elements, beginning from the physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) models, through 3D printed tablets with the model proposed dose, information range and flow, and the patient themselves. We also describe each of these elements, and the connection between them, highlighting challenges and potential obstacles.
精准医学需要使用合适的药物在适当的时间为患者选择适当的剂量方案。模型指导的精准用药（MIPD）是一个概念，它建议利用基于模型的预测方法来优化治疗的获益-风险平衡，基于患者、疾病、治疗方法和其他因素的个体特征。在这里，我们讨论了一个理论工作流程，它包含几个要素，从基于生理学的药代动力学/药效动力学（PBPK/PD）模型开始，通过 3D 打印具有模型建议剂量、信息范围和流程的片剂，以及患者自身。我们还描述了这些要素中的每一个，以及它们之间的联系，强调了挑战和潜在的障碍。
