Optimising the therapeutic response of statins using real-world evidence and machine learning: Personalised precision dosing recommends lower statin doses for some patients.

IF 5.4 2区医学 Q1 ENDOCRINOLOGY & METABOLISM

Diabetes, Obesity & Metabolism Pub Date : 2024-11-08 DOI:10.1111/dom.16029

Andrew Krentz, Lisa Fournier, Thomas Castiglione, Vasa Curcin, Camil Hamdane, Tianyi Liu, André Jaun

引用次数: 0

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利用真实世界的证据和机器学习优化他汀类药物的治疗反应：个性化精准用药建议降低部分患者的他汀类药物剂量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diabetes, Obesity & Metabolism 医学-内分泌学与代谢

CiteScore

10.90

自引率

6.90%

发文量

319

审稿时长

3-8 weeks

期刊介绍： Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.