跨越制药计量和机器学习的世界
Kamilė Stankevičiūtė1, Jean-Baptiste Woillard2,3, Richard W Peck4,5
1Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Avenue, Cambridge, CB3 0FD, UK.
这项研究将药理计量学和精准医学的机器学习联系起来. 它引入了药量测量技术和机器学习方法,以改善针对个性化治疗的疾病和药物建模.
科学领域:
- 药理学和计算科学 药理学和计算科学
背景情况:
- 精准医学需要对疾病和药物动态进行个性化建模.
- 机器学习 (ML) 在计算建模方面越来越受欢迎.
- 药量测量和ML之间存在差距,阻碍了进步.
研究的目的:
- 为了弥合药量计和机器学习之间的差距.
- 向ML从业者介绍药量测量问题和技术.
- 审查适用于药理学的ML方法.
主要方法:
- 对药量测量技术的审查,包括药理动力学/药理动力学 (PK/PD) 建模,模拟,基于模型的精确剂量和系统药理学.
- 探索相关的机器学习方法.
- 综合 ML 如何解决药量测量挑战的方法.
主要成果:
- 确定了关键的药量测量问题和技术.
- 审查了适用的机器学习方法.
- 突出了药理学和ML之间的协同效应的潜力.
结论:
- 促进药理学家和ML专家之间的合作至关重要.
- 将原则性药量计建模与ML灵活性相结合,可以增强药理学应用.
- 这种整合有望在精准医学领域取得协同进展.
更多相关视频
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
09:21Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
Published on: July 7, 2023
相关概念视频
Analysis of Population Pharmacokinetic Data
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Mechanistic Models: Overview of Compartment Models
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
