Biomarker- and molecular-driven technologies such as molecular models can precisely predict how an individual’s cancer will respond to certain treatments, the pinnacle of precision oncology. However, established modeling systems such as patient-derived xenografts and patient-derived organoids require large tissue samples and take months or even a year to obtain results, barriers that have limited their application in regular practice.