Disease Area

Illustration of a non-invasive brain imaging system using SPAD arrays to measure cerebral blood flow.

Beneath the surface: revealing deep-tissue blood flow in human subjects with massively parallelized diffuse correlation spectroscopy

Diffuse correlation spectroscopy (DCS) allows label-free, non-invasive investigation of microvascular dynamics deep within tissue, such as cerebral blood flow (CBF). However, the signal-to-noise ratio (SNR) in DCS limits its effective cerebral sensitivity in adults, in which the depth to the brain, through the scalp and skull, is substantially larger than in infants.Therefore, we aim to…

Velocity-time curve with feature points and scatter plot correlations.

Impact of inlet velocity waveform shape on hemodynamics

Monitoring disease development in arteries, which supply oxygen and nutrients to the body, is crucial and can be assessed using hemodynamic metrics. Hemodynamic metrics can be calculated via computational fluid dynamic simulation of patient-specific geometries. These simulations are known to be heavily influenced by boundary conditions, such as time-dependent inlet flow. However, the effects of…

Workflow diagram of offline modeling and online planning for blood flow.

Real-time virtual intervention for simple and serial coronary artery disease using the HarVI framework

Virtual planning tools that provide intuitive user interaction and immediate hemodynamic feedback are crucial for cardiologists to effectively treat coronary artery disease. Current FDA-approved tools for coronary intervention planning require days of preliminary processing and rely on conventional 2D displays for hemodynamic evaluation. Immersion offered by extended reality (XR) has been found to benefit intervention…

David Hasan

Hasan Elected Fellow of the American Association for the Advancement of Science

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David Hasan, MD, professor in the Duke Department of Neurosurgery, was one of three faculty from the Duke University School of Medicine who were elected fellows of the American Association for the Advancement of Science (AAAS) for 2024, one of the most prestigious honors in the scientific community.   Read the article

T cells examples

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…