Cancer

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM

Stereotactic radiosurgery (SRS) is widely used for brain metastases (BM), but the risk of radionecrosis poses a challenge in post-SRS management. Given the lack of noninvasive imaging methods for distinguishing radionecrosis from recurrence, we aimed to design a deep ensemble learning model that integrates patient clinical features and genomic profiles to identify radionecrosis in patients…

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Center Members Win Award at ICCS25
Posted onJuly 11, 2025July 11, 2025

Congratulations to Center director Amanda Randles and members Aristotle Martin and William Ladd for winning Best Main Track Paper Award at the International Conference on Computational Science (ICCS25)!

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Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations

Explicitly simulating the transport of circulating tumor cells (CTCs) across anatomical scales with submicron precision—necessary for capturing ligand-receptor interactions between CTCs and endothelial walls—remains infeasible even on modern supercomputers. In this work, we extend the hybrid CPU-GPU adaptive physics refinement (APR) method to couple a moving finely resolved region capturing adhesive dynamics between a cancer…

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Establishing a massively parallel computational model of the adaptive immune response

Parallel agent-based models of the adaptive immune response can efficiently recapitulate emerging spatiotemporal properties of T-cell motility during clonal selection across multiple length and time scales. Here, we present a distributed, three-dimensional (3D) computational model of T-cell priming, and associated parallel data structures and algorithms that enable fully deterministic cell simulations at scale. We demonstrate…

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Seeing cancer’s spread through a computational window
Posted onNovember 28, 2023February 11, 2025

Computational model allows researchers to simulate cellular-scale interactions across unprecedented distances in the human vasculature.

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Modelling a single cancer cell in a sea of blood
Posted onNovember 28, 2023February 11, 2025

Sayan Roychowdhury presented at the SC23 conference on the research paper “Enhancing Adaptive Physics Refinement Simulations through the Addition of Realistic Red Blood Cell Counts.”

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Research team pairs 3D bioprinting and computer modeling to examine cancer spread in blood vessels
Posted onAugust 20, 2020February 18, 2025

Researchers at Lawrence Livermore National Laboratory and Duke University combined 3D bioprinting and computational flow models to analyze the physics behind circulating tumor cell behavior and the cells’ attachment to the vascular endothelium, the layer of cells that line the interior surface of blood vessels.

Read More Research team pairs 3D bioprinting and computer modeling to examine cancer spread in blood vessels