No Two Patients are the Same
Every year millions of people are diagnosed with cancer.
Each tumor is unique, and patient-to-patient tumor differences remain a challenge in clinical decision making and drug development.
Variation and uncertainty in treatment responses among patients leads to poor outcomes, avoidable sided effects, and high costs.
While there has been progress in precision medicine,
DATA ALONE IS NOT THE ANSWER.

Building The Future of Precision Cancer Care
We integrate patient-specific data and cutting edge spatially resolved biological simulations to model the behavior of cancer and predict response to therapy

Standard of Care Data Enriched with AI to Develop a Patient’s Virtual Tumor
A novel, computationally intensive approach, using patient’s electronic health records, any available diagnostic imaging (e.g., MRI, mammogram, or PET scans), and any available -omics data (e.g., genomic, proteomic) to build an electronic 3D model of their tumor. This provides visualization to unlock patient-specific biological features such as tumor morphology, blood vessel localization, and surrounding tissue composition.


Biophysical Modeling & Simulations to Capture Tumor Behavior
Cutting-edge, spatially resolved biological simulations are run to simulate the biochemical interactions within a patient’s tumor. A library of characterized drug regimens can be applied to computationally simulate personalized treatment options and assess treatment response.
Individualized Treatment Selection & Insights Development
Providing drug developers with novel insights and tools to expedite drugs to market & placing personalized oncology into the hands of patients and providers to optimize treatment outcomes.

Our Differentiating Factors
The SimBioSys Multidimensional Approach Provides Insights
Beyond – Omics Data Alone

Tumor & Microenvironment Interaction

Metabolism

Perfusion & Drug Delivery

Immune Status

Multimodal Signatures
We combine all major hallmarks of cancer variation to understand cancer comprehensively; drug delivery, drug sensitivity, metabolism and spatial heterogeneity