Our technology leverages Convolutional Neural Networks (CNNs) to automatically segment tumors, glandular, adipose and vascular tissues. This information yields a 3D representation of the patients tumor (virtual tumor) to provide greater insights for more informed decision making.By integrating spatial biophysics into our technology, our 3D models capture a tumor’s physics, chemistry, and biology information at multiple scales. Every region of the tumor’s chemical concentrations continually updates to reflect transport, reactions, metabolic behavior, and varying drug concentrations that affect how tumor cells respond. Our 3D mechanic models provide insights into tissues’ growth or decline response. These insights play a pivotal role in guiding cancer treatment.Our technology can capture tumor biology and simulate how nutrients, chemicals, and drugs are distributed within a tumor and how this affects tumor growth or shrinkage in different regions through time.