相关实验视频

Updated: Jul 17, 2026

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine
08:33

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine

Published on: July 24, 2018

11.1K

BCDPi:一种可解释的多任务深度神经网络模型,用于预测鱼类中的化学生物度.

Zhaoyang Chen1, Na Li1, Ling Li1

  • 1Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China.

Environmental research
|November 16, 2024
PubMed
概括

这项研究引入了一个深度学习模型来预测化学生物度潜力,帮助评估环境风险. 该工具BCdpi-predictor为监管框架提供了准确和可解释的预测.

关键词:
BCdpi-预测器网络服务器生物度的生物度可解释的深度神经网络多任务分类是多任务分类.结构性警报是指结构性警报.

更多相关视频

The Three-Chamber Choice Behavioral Task using Zebrafish as a Model System07:55

The Three-Chamber Choice Behavioral Task using Zebrafish as a Model System

Published on: April 14, 2021

3.8K
Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay06:25

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay

Published on: January 12, 2024

1.4K

相关概念视频

Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...