Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Hazard Rate
Drug Concentration Versus Time Correlation
Multimachine Stability
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Wisdom Aselisewine1, Suvra Pal1,2
1Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, United States.
这项研究引入了一种新的混合治愈率模型 (MCM),使用神经网络来确定治愈概率,在生存分析中表现优于传统方法,并提高了癌症患者的预测准确性.
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
06:41Quantitative Analysis of Mitochondria-Associated Endoplasmic Reticulum Membrane (MAM) Stabilization in a Neural Model of Alzheimer's Disease (AD)
Published on: January 10, 2025
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论: