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Updated: Jul 17, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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多发性骨髓瘤中的lenalidomide-dexamethasone剂量减少和毒性:一个机器学习预测模型

Iván Maray1, Cristina Álvarez-Asteinza1, Clara Luz Fernández-Laguna1

  • 1Department of Pharmacy, Hospital Universitario Central de Asturias, Oviedo, Spain.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
|September 6, 2023
PubMed
概括

在多发性骨髓瘤中预测莱纳利多米德剂量调整至关重要. 老年患者和中性粒细胞计数较低的患者更有可能需要因不良事件而减少剂量.

关键词:
莱纳利多胺是什么?机器学习是机器学习.毒性的毒性 毒性的毒性

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Renal Failure: Dose Adjustments01:11

Renal Failure: Dose Adjustments

In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
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