全球技术与优化杂志

Dynamic Surrogate Models for Patient Monitoring and Treatment Optimization

Abstract

Umar Goldfarb

Dynamic surrogate models are emerging as powerful tools in healthcare for patient monitoring and treatment optimization. These models leverage advanced computational techniques to simulate patient physiology, predict disease progression and optimize treatment strategies in real-time. By integrating patient data with sophisticated algorithms, dynamic surrogate models provide clinicians with invaluable insights, enabling personalized and proactive healthcare delivery. This article explores the role of dynamic surrogate models in patient monitoring and treatment optimization, highlighting their benefits, challenges and future prospects.