Discover our technology's ability to truly redefine precision medicine, revolutionize patient care, and ultimately defeat cancer. From 3D tumor modeling to scientific data-driven predictions, we address tumor diversity more completely.
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 research-use 3D models are designed to capture a tumor's physical, chemical, and biological information at multiple scales. Every region of the tumor's chemical concentration continually updates to model transport, reactions, metabolic behavior, and varying drug concentrations that can affect how tumor cells respond. Our 3D research models provide insights into tissue growth or decline responses, playing a pivotal role in informing cancer treatment.
Harnessing patient dataset insights and spatial biophysics, we create predictive 3D models that are designed to estimate long-term patient outcomes, including the risk of recurrence.
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.
PhenoScope is currently available for life science research use in each region below.
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