The calcitonin gene-related peptide (CGRP) is a neuropeptide widely distributed throughout
the human body. While primarily recognized as a nociceptive mediator, CGRP antagonists …

Age and aging are important predictors of health status, disease progression, drug kinetics,
and effects. The purpose was to develop ensemble learning‐based physiological age (PA) …

Dosing requires consideration of diverse patient-specific factors affecting drug
pharmacokinetics and pharmacodynamics. The available pharmacometric methods have …

Background Ethno-racial disparities in cardiometabolic diseases are driven by
socioeconomic, behavioral, and environmental factors. Bayesian networks offer an …

Objective To model interdependencies of serum neurofilament light chain (sNfL), a clinically
useful biomarker of axonal injury in neurological diseases, with demographic …

Incorporating realistic sets of patient-associated covariates, ie, virtual populations, in
pharmacometric simulation workflows is essential to obtain realistic model predictions …

In the context of in silico clinical trials, mechanistic computer models for pathophysiology
and pharmacology (here Quantitative Systems Pharmacology models, QSP) can greatly …

Artificial intelligence (AI) has come to be used in various technological fields in recent years.
However, there have been no reports of AI‐designed clinical trials. In this study, we tried to …

In a few short years, quantitative systems pharmacology (QSP) has become a major tool
available to pharmacometricians to improve decision making in drug development, so much …

Abstract Machine learning algorithms have been widely used in risk prediction management
systems for financial data. Early warning and control of financial risks are important areas of …