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相关概念视频

Dosage Regimen: Fixed Dose01:01

Dosage Regimen: Fixed Dose

1.8K
Fixed-dose regimens are a common approach to administer drugs to achieve and maintain desired levels of the drug in the body. In this dosing strategy, a specific amount of medication is given at regular intervals, often multiple times a day, to ensure a consistent drug concentration in the bloodstream.
Fixed-dose regimens can be used for various routes of administration, including intravenous (IV) injections and oral medications. For IV administration, a predetermined amount of the drug is...
1.8K
Rational Dosage Regimen: Maintenance Dose and Loading Dose01:24

Rational Dosage Regimen: Maintenance Dose and Loading Dose

3.9K
A rational dosage regimen considers a drug's pharmacokinetics, including its absorption, distribution, metabolism, and elimination from the body. By understanding these factors, the appropriate dosage can be determined, and the dosing schedule can be designed to achieve and maintain the desired therapeutic effect while minimizing adverse effects.
In most cases, drugs are administered repetitively or infused continuously to maintain a steady-state concentration in the body. At a steady...
3.9K
Drug Dosage Regimen: Overview01:15

Drug Dosage Regimen: Overview

3.5K
A drug dosage regimen describes the specific instructions and schedule for administering a drug to a patient. It considers factors such as drug dosage, frequency, route of administration, and duration of treatment. Designing an appropriate dosage regimen for a patient aims to achieve a target drug concentration at the site of action.
Typically, the starting dose and dosing interval are guided by the manufacturer's recommendations based on clinical trials conducted during and after drug...
3.5K
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

4.2K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
4.2K
Renal Failure: Dose Adjustments01:11

Renal Failure: Dose Adjustments

63
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...
63
Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

274
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
274

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Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
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在设计点对剂量预测的方向

Dries Van Rompaey1, Siladitya Ray Chaudhuri2, Mazen Ahmad1

  • 1In Silico Discovery, Janssen Pharmaceutica NV, Beerse 2340, Belgium.

Journal of medicinal chemistry
|December 12, 2024
PubMed
概括
此摘要是机器生成的。

这项研究提出了一个 in silico人类剂量预测 (HDP) 策略,使用机器学习来估计药物剂量在发现早期. 该方法有助于优先考虑化合物,减少不那么有前途的候选物的合成.

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科学领域:

  • 药物的发现和开发.
  • 计算化学是一种计算化学.
  • 药理动力学 药理动力学

背景情况:

  • 人类剂量预测 (HDP) 对于优化临床前药物发现中的化合物至关重要.
  • 准确的HDP可以简化可行的候选药物的识别.
  • 当前的方法可能需要在过程的早期获得重要的实验数据.

研究的目的:

  • 开发一种专门用于化HDP的战略,用于分类复合材料设计.
  • 创建一个模型估计人类剂量基于化学结构的目标暴露.
  • 评估和纳入模型不确定性可靠的剂量估计.

主要方法:

  • 机器学习模型被构建用于估计大鼠的药理动力学.
  • 鼠类的药理动力学被测量以预测人类的药理动力学.
  • 在缺乏强度数据的情况下,用于早期HDP的10nM自由度目标.
  • 进行了不确定性分析,并将其推广到最终的剂量估计.

主要成果:

  • 与非结构化方法相比,in silico HDP策略可以减少具有不利性质的化合物的合成.
  • 该模型提供了基于化学结构的初步剂量估计.
  • 不确定性量化提供了关于HDP估计可靠性的指导.

结论:

  • 在 silico HDP 开发的战略为早期化合物优化提供了有价值的工具.
  • 这种计算方法通过优先考虑化合物,有助于高效的临床前药物发现.
  • 虽然有利,但该策略需要继续进行实验验证和测试.