Researchers from the University of Melbourne used three datasets containing thousands of electronic patient health records to train an existing large language model (LLM). The AI model called DT-GPT, analyzed medical data of patients with either Alzheimer’s disease or non-small cell lung cancer, as well as patients admitted to intensive care units.

The model created digital twins of these patients and forecasted how their health was likely to change over time under treatment, helping to predict the course of their disease. It was able to make accurate predictions by utilizing its pre-existing knowledge of medical literature and evaluating the patient’s medical histories including laboratory results, diagnoses, and treatments