A review of the physiological effects of microgravity and innovative formulation for space travelers [0.03%]
微重力的生理影响及航天员用药创新剂型研究进展
Jey Kumar Pachiyappan,Manali Patel,Parikshit Roychowdhury et al.
Jey Kumar Pachiyappan et al.
During the space travel mission, astronauts' physiological and psychological behavior will alter, and they will start consuming terrestrial drug products. However, factors such as microgravity, radiation exposure, temperature, humidity, str...
Chuanpu Hu,Anna G Kondic,Amit Roy
Chuanpu Hu
Visual predictive checks (VPC) are commonly used to evaluate pharmacometrics models. However their performance may be hampered if patients with worse outcomes drop out earlier, as often occurs in clinical trials, especially in oncology. Whi...
General quasi-equilibrium multivalent binding model to study diverse and complex drug-receptor interactions of biologics [0.03%]
用于研究生物制剂多样且复杂的药物-受体相互作用的广义准平衡多元结合模型
Chee M Ng,Robert J Bauer
Chee M Ng
Pharmacokinetics and pharmacodynamics of many biologics are influenced by their complex binding to biological receptors. Biologics consist of diverse groups of molecules with different binding kinetics to its receptors including IgG with si...
Time Scale Calculus: a new approach to multi-dose pharmacokinetic modeling [0.03%]
时间尺度下的分数阶微积分及其在多剂给药药代动力学建模中的应用
José Ricardo Arteaga-Bejarano,Santiago Torres
José Ricardo Arteaga-Bejarano
In this paper, we use Time Scale Calculus (TSC) to formulate and solve pharmacokinetic models exploring multiple dose dynamics. TSC is a mathematical framework that allows the modeling of dynamical systems comprising continuous and discrete...
A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy [0.03%]
一种定量建模框架 用于理解下丘脑-垂体-肾上腺轴生理学及与皮质醇替代疗法的相互作用
Davide Bindellini,Robin Michelet,Linda B S Aulin et al.
Davide Bindellini et al.
Congenital adrenal hyperplasia (CAH) is characterized by impaired adrenal cortisol production. Hydrocortisone (synthetic cortisol) is the drug-of-choice for cortisol replacement therapy, aiming to mimic physiological cortisol circadian rhyt...
Likelihood comparisons in bounded outcome score analysis must be internally consistent [0.03%]
有界结果评分分析中的可能性比较必须内部一致
Chuanpu Hu
Chuanpu Hu
Clinical trial endpoints are often bounded outcome scores (BOS), which are variables having restricted values within finite intervals. Common analysis approaches may treat the data as continuous, categorical, or a mixture of both. The appea...
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations [0.03%]
深层隔室模型中的混合效应估计：变分方法优于一阶近似方法
Alexander Janssen,Frank C Bennis,Marjon H Cnossen et al.
Alexander Janssen et al.
This work focusses on extending the deep compartment model (DCM) framework to the estimation of mixed-effects. By introducing random effects, model predictions can be personalized based on drug measurements, enabling the testing of differen...
pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization [0.03%]
基于非线性混合效应模型选择和优化的pyDarwin机器学习算法应用与比较
Xinnong Li,Mark Sale,Keith Nieforth et al.
Xinnong Li et al.
Forward addition/backward elimination (FABE) has been the standard for population pharmacokinetic model selection (PPK) since NONMEM® was introduced. We investigated five machine learning (ML) algorithms (Genetic algorithm [GA], Gaussian p...
An asymptotic description of a basic FcRn-regulated clearance mechanism and its implications for PBPK modelling of large antibodies [0.03%]
一个基本的FcRn调节清除机制的渐近描述及其对大型抗体PBPK建模的影响
Csaba B Kátai,Shepard J Smithline,Craig J Thalhauser et al.
Csaba B Kátai et al.
A basic FcRn-regulated clearance mechanism is investigated using the method of matched asymptotic expansions. The broader aim of the work is to obtain further insight on the mechanism, thereby providing theoretical support for future pharma...
Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice [0.03%]
通过机制数学建模促进癌症药物研发：弥合理论与实践之间的差距
Alexander Kulesza,Claire Couty,Paul Lemarre et al.
Alexander Kulesza et al.
Quantitative predictive modeling of cancer growth, progression, and individual response to therapy is a rapidly growing field. Researchers from mathematical modeling, systems biology, pharmaceutical industry, and regulatory bodies, are coll...