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Publications
A 3D Visualization and Prediction Device for Breast Cancer Surgeons and their Patients
Despite chemotherapeutic advances, surgery remains a putative treatment modality for breast cancer. The type of surgery chosen, and its ultimate clinical and cosmetic consequences, depends on a surgeon’s ability to accurately assess a tumor’s size, distribution, and position in the breast relative to anatomical landmarks.
A 3D Visualization Method for Breast Cancer Surgeons and Patients
In order to accurately evaluate the potential success of various surgical options, a surgeon must mentally translate these 2D images into more realistic, 3D image to visualize breast and tumor morphologies.
Independent validation of a novel, non-invasive approach to predict pathologic complete response (pCR) in a blinded, prospectively-run single center trial
We developed the TumorScope engine, a software platform that utilizes pretreatment diagnostic data to build a computational tumor model that simulates in vivo tumor characteristics and interactions, incorporating morphology, metabolism, vascularity, and nutrient and drug delivery.
pCR Score: A Novel Prognostic Method to Estimate the Predictive Probability of pCR in Early-Stage Breast Cancer Patients.
To drive further utility, we now investigate a pCR score as a continuous outcome (0-100) to establish a prognostic system that evaluates the predictive probability that a patient will achieve pCR with any SOC NAT regimen.
T-cell metabolic activity is impacted by the nutrient composition within the tumor microenvironment
Our results demonstrated that the local nutrient composition has a dramatic impact on T cell functionality, with fundamental cellular behaviors being significantly impaired by a reduction in key nutrients such as glucose and oxygen.
The Next Generation of Immunotherapy Response Signatures Revealed by Biophysical Simulations
Here, we present a proof-of-concept approach for the rapid, non-invasive assessment of immunotherapy response prediction using biomarker imaging signatures.
Biophysical simulation approach for dose escalation in Phase I clinical trials
Here we performed a proof-of-concept study using trastuzumab emtansine (TDM1), a targeted drug for HER2-enriched breast cancer, to demonstrate how biophysical modeling can support dose selection in phase I clinical trials.
Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform
Pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) in early breast cancer (EBC) is largely dependent on breast cancer subtype, but no clinical-grade model exists to predict response and guide selection of treatment. A biophysical simulation of response to NAC has the potential to address this unmet need.
Using a multimodal approach to elucidate racial disparities in breast cancer biology by integrating tumor imaging and -omics data
Abstract Background: Race-related differences in breast cancer incidence and clinical outcome have been well documented, with many studies focusing on socioeconomic determinants contributing to African American (AA) breast cancer patients having higher mortality...
Multimodal approach to capture spatially resolved single-cell tumor heterogeneity in breast cancer
Abstract Tumor heterogeneity is known to play a key role in drug response and resistance. However, knowledge of tumor heterogeneity is largely limited to genetics and biopsy samples representing one region of the tumor. The study of spatial tumor heterogeneity is...
Whitepapers
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