Liquid tumor models, which use blood or other bodily fluids to study cancer, offer a less invasive alternative to traditional tissue biopsies. These models enable real-time monitoring of cancer progression and the detection of genetic and molecular changes in circulating tumor cells (CTCs) or tumor-derived extracellular vesicles. In silico simulations, computer-based models that replicate the biological processes of cancer, also play a vital role in predicting the behavior of tumors and assessing the effects of potential therapies. Combining liquid tumor models with in silico simulations enhances the precision of cancer research, providing a more dynamic and comprehensive understanding of tumor biology. These innovations promise to improve early diagnosis, monitor treatment responses, and facilitate the development of personalized cancer therapies.



Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada
Title : Nanomedicine in over 45,000 patients and no cancer
Thomas Jay Webster, Brown University, United States