Future of Large Language Models and Digital Twins in Precision Healthcare: A Symmetric Literature Review

Abstract

Digital twin and large language model technologies have been increasingly applied in precision healthcare and patient applications in recent years. This publication fills the research gap by providing an overview of the recent advances, applications, and challenges of digital twins and large language models in precision healthcare. It also proposes a state-of-the-art technology that combines a large language model and a digital twin that can be used to create models specific to patients to help with diagnosis, treatment planning, therapy planning, checking the effectiveness of drugs on individuals, and many other cases. And with this proposed technology, the healthcare and pharmaceutical industries can be revolutionized.