Our presence at ASBrS will be an excellent opportunity to demonstrate how this synergy has the potential to benefit surgeons and patients by providing a clearer understanding of complex cancer surgeries before the first incision is made. EXTON, Pa. &…
TumorSight Plan is the first clinical decision support tool to support more effective provider-patient decision making and individualize surgical planning to right-size care. Powered by FDA-cleared TumorSight Viz, it provides advanced visualization, data-driven insights, and best practices. CHICAGO, IL –…
PhenoScope™, SimBioSys’ powerful proprietary technology and service, can analyze vast fields of multi-modal data seamlessly, generating novel insights, including unique spatial biophysical insights in a 4-dimension space, for cancer drug discovery and development which are not apparent by looking at…
Metabolic reprogramming and tumor angiogenesis are two tightly linked hallmarks of cancer. Regions of high metabolic activity within a tumor can become hypoxic or nutrient starved, eliciting a cascade of pro-angiogenic signals that can lead to increased tumor perfusion and in turn greater metabolic…
As new antibody drug conjugates are developed, the question of which specific patients will respond to these therapies remains. This work develops a spatial PK/PD model for the antibody drug conjugate trastuzumab emtansine, T-DM1, and explores the relationship between HER2 (target) expression and other individual features of the tumor microenvironment…
The ESMO Breast Cancer 2022 took place in Berlin on May 3 – 5. A well-attended conference covering a broad range of breast cancer topics. Our team was there to present three posters. Here are our takeaway messages from the…
We developed an ensembled suite of convolutional neural networks (core components of SimBioSys TumorSight) that segmented tumor and other tissues, in and around the breast (chest, adipose, gland, vasculature, skin). We sought to validate model results against the expertise of…
Here, we show how MV maps — computed from standard-of-care (SOC) imaging — improve upon ctDNA measurements in predicting pathologic complete response (pCR) following NAT as well as distant recurrence free survival (DRFS).
Using an integrative computational approach, we developed both the TumorIO biomarker and the TumorIO Score to predict response to IO therapy in breast cancer patients. Here, we assess the volumetric response in IO-treated patients and its relationship with the TumorIO Score.
Here, we applied an integrative computational approach to develop the IOScope biomarker, which predicts IO response in ESBC.
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