Medical digital twins are computational models of human biology relevant to a given medical
condition, which are tailored to an individual patient, thereby predicting the course of …

Clinical trials are indispensable for medical research and the development of new
treatments. However, clinical trials often involve thousands of participants and can span …

Digital twins (DTHs) and virtual twins (VTHs) in healthcare represent emerging technologies
towards precision medicine, providing opportunities for patient-centric healthcare. Our …

Constructing digital twins for predictive tumor treatment response models can have a high
computational demand that presents a practical barrier for their clinical adoption. In this …

Patients with metastatic triple-negative breast cancer (TNBC) show variable responses to
PD-1 inhibition. Efficient patient selection by predictive biomarkers would be desirable but is …

The reaction-diffusion equation is widely used in mathematical models of cancer. The
calibration of model parameters based on limited clinical data is critical to using reaction …

The development of mathematical models of cancer informed by time-resolved
measurements has enabled personalised predictions of tumour growth and treatment …

Digital twin technology, a cutting-edge approach that creates dynamic digital replicas of
physical systems, is increasingly integral to various industrial applications. However, the …