Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy
This paper describes the design, development and validation of a transrectal prostate biopsy guidance system for targeting MRI-visible tumours that supports an integrated 3/4D ultrasound transducer for rapid volume acquisition.
A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Communication neural prostheses aim to restore the ability to efficient communication to people with paralysis and ALS. These systems record neural signals from the brain and translate them, through a decoder algorithm, into control signals for moving an end effector. In our study, monkeys controlled computer cursors to acquire targets on a keyboard-like grid.
High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed
Clinical tools to diagnose gastrointestinal (GI) disease are invasive or require radiation. Moreover, there is no widely established clinical technology analogous to the ECG for the “Functional” GI disorders are poorly understood, highly prevalent and have significant individual, health care, and socioeconomic consequences. The methodology we developed and described in this manuscript has the potential to change the diagnosis of GI disorders as well as inspire new therapies.
Characterization of a Honeycomb-like Scaffold with Dielectrophoresis-based Patterning for Tissue Engineering
We designed a scaffold with honeycomb-like pores to mimic the geometry of native bone tissues, and used Dielectrophoresis (DEP) technology to promote cell seeding during the reconstruction of an artificial bone tissue. The combined honeycomb-like scaffold and the dielectrophoresis-based patterning technology was verified to be a promising tool to enhance seeding and patterning of a wide range of cells for the development of high-quality artificial tissues.
Stem Cell Plasticity and Niche Dynamics in Cancer Progression
Cancer stem cells are believed to be the sole initiator and driver of tumor growth, given their self-renewal and tissue restoration properties. Their eradication may offer the ultimate in targeted tumor treatment. We challenge the strict hierarchical view of cancer stem cells and investigate the hypothesis of a plastic, niche-dependent stem phenotype, where the niche dictates the cell’s ability to maintain its stem-like state. We develop a two-dimensional hybrid discrete-continuum cellular automata model to describe the cell scale dynamics of multicellular tissue formation, and its environmental regulation.
Multiscale Modeling of Glioblastoma Suggests that the Partial Disruption of Vessel/Cancer Stem Cell Crosstalk Can Promote Tumor Regression without Increasing Invasiveness
In glioblastoma, the crosstalk between vascular endothelial cells (VECs) and glioma stem cells (GSCs) has been shown to enhance tumor growth. We develop a hybrid continuum-discrete mathematical model and show that the VEC-GSC crosstalk increases both tumor size and GSC fraction by enhancing GSC activity and neovascular development.