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299 results on '"Shapiro, Erik M."'

6. Fusing AutoML Models: A Case Study in Medical Image Classification

Author

Dale, Melissa, Ross, Arun, Shapiro, Erik M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, El Yacoubi, Mounîm, editor, Granger, Eric, editor, Yuen, Pong Chi, editor, Pal, Umapada, editor, and Vincent, Nicole, editor

Published
2022
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7. Computed tomography technologies to measure key structural features of polymeric biomedical implants from bench to bedside.

Author

Pawelec, Kendell M., Schoborg, Todd A., and Shapiro, Erik M.

Abstract

Implanted polymeric devices, designed to encourage tissue regeneration, require porosity. However, characterizing porosity, which affects many functional device properties, is non‐trivial. Computed tomography (CT) is a quick, versatile, and non‐destructive way to gain 3D structural information, yet various CT technologies, such as benchtop, preclinical and clinical systems, all have different capabilities. As system capabilities determine the structural information that can be obtained, seamless monitoring of key device features through all stages of clinical translation must be engineered intentionally. Therefore, in this study we tested feasibility of obtaining structural information in pre‐clinical systems and high‐resolution micro‐CT (μCT) under physiological conditions. To overcome the low CT contrast of polymers in hydrated environments, radiopaque nanoparticle contrast agent was incorporated into porous devices. The size of resolved features in porous structures is highly dependent on the resolution (voxel size) of the scan. As the voxel size of the CT scan increased (lower resolution) from 5 to 50 μm, the measured pore size was overestimated, and percentage porosity was underestimated by nearly 50%. With the homogeneous introduction of nanoparticles, changes to device structure could be quantified in the hydrated state, including at high‐resolution. Biopolymers had significant structural changes post‐hydration, including a mean increase of 130% in pore wall thickness that could potentially impact biological response. By incorporating imaging capabilities into polymeric devices, CT can be a facile way to monitor devices from initial design stages through to clinical translation. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Device Design and Advanced Computed Tomography of 3D Printed Radiopaque Composite Scaffolds and Meniscus.

Author

Delemeester, Mitchell, Pawelec, Kendell M., Hix, Jeremy M.L., Siegenthaler, James R., Lissy, Micah, Douek, Philippe C., Houmeau, Angèle, Si‐Mohamed, Salim A., and Shapiro, Erik M.

Subjects
HYBRID materials, BISMUTH trioxide, COMPUTED tomography, TISSUE scaffolds, TISSUE engineering, POLYCAPROLACTONE
Abstract

3D‐printed biomaterial implants are revolutionizing personalized medicine for tissue repair, especially in orthopedics. In this study, a radiopaque bismuth oxide (Bi2O3) doped polycaprolactone (PCL) composite is developed and implemented to enable the use of diagnostic X‐ray technologies, especially spectral photon counting X‐ray computed tomography (SPCCT), for comprehensive tissue engineering scaffold (TES) monitoring. PCL filament with homogeneous Bi2O3 nanoparticle (NP) dispersion (0.8 to 11.7 wt%) is first fabricated. TES are then 3D printed with the composite filament, optimizing printing parameters for small features and severely overhung geometries. These composite TES are characterized via micro‐computed tomography (µCT), tensile testing, and a cytocompatibility study, with 2 wt% Bi2O3 NPs providing improved tensile properties, equivalent cytocompatibility to neat PCL, and excellent radiographic distinguishability. Radiographic performance is validated in situ by imaging 4 and 7 wt% Bi2O3 doped PCL TES in a mouse model with µCT, showing excellent agreement with in vitro measurements. Subsequently, CT image‐derived swine menisci are 3D printed with composite filament and re‐implanted in corresponding swine legs ex vivo. Re‐imaging the swine legs via clinical CT allows facile identification of device location and alignment. Finally, the emergent technology of SPCCT unambiguously distinguishes the implanted meniscus in situ via color K‐edge imaging. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Assembly and Function of a Bioengineered Human Liver for Transplantation Generated Solely from Induced Pluripotent Stem Cells

Author

Takeishi, Kazuki, Collin de l’Hortet, Alexandra, Wang, Yang, Handa, Kan, Guzman-Lepe, Jorge, Matsubara, Kentaro, Morita, Kazutoyo, Jang, Sae, Haep, Nils, Florentino, Rodrigo M., Yuan, Fangchao, Fukumitsu, Ken, Tobita, Kimimasa, Sun, Wendell, Franks, Jonathan, Delgado, Evan R., Shapiro, Erik M., Fraunhoffer, Nicolas A., Duncan, Andrew W., Yagi, Hiroshi, Mashimo, Tomoji, Fox, Ira J., and Soto-Gutierrez, Alejandro

Published
2020
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21. Data from Dual-Targeting Nanoparticles for In Vivo Delivery of Suicide Genes to Chemotherapy-Resistant Ovarian Cancer Cells

Author

Cocco, Emiliano, primary, Deng, Yang, primary, Shapiro, Erik M., primary, Bortolomai, Ileana, primary, Lopez, Salvatore, primary, Lin, Ken, primary, Bellone, Stefania, primary, Cui, Jiajia, primary, Menderes, Gulden, primary, Black, Jonathan D., primary, Schwab, Carlton L., primary, Bonazzoli, Elena, primary, Yang, Fan, primary, Predolini, Federica, primary, Zammataro, Luca, primary, Altwerger, Gary, primary, de Haydu, Christopher, primary, Clark, Mitchell, primary, Alvarenga, Julio, primary, Ratner, Elena, primary, Azodi, Masoud, primary, Silasi, Dan-Arin, primary, Schwartz, Peter E., primary, Litkouhi, Babak, primary, Saltzman, W. Mark, primary, and Santin, Alessandro D., primary

Published
2023
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22. Supporting Information from Dual-Targeting Nanoparticles for In Vivo Delivery of Suicide Genes to Chemotherapy-Resistant Ovarian Cancer Cells

Author

Cocco, Emiliano, primary, Deng, Yang, primary, Shapiro, Erik M., primary, Bortolomai, Ileana, primary, Lopez, Salvatore, primary, Lin, Ken, primary, Bellone, Stefania, primary, Cui, Jiajia, primary, Menderes, Gulden, primary, Black, Jonathan D., primary, Schwab, Carlton L., primary, Bonazzoli, Elena, primary, Yang, Fan, primary, Predolini, Federica, primary, Zammataro, Luca, primary, Altwerger, Gary, primary, de Haydu, Christopher, primary, Clark, Mitchell, primary, Alvarenga, Julio, primary, Ratner, Elena, primary, Azodi, Masoud, primary, Silasi, Dan-Arin, primary, Schwartz, Peter E., primary, Litkouhi, Babak, primary, Saltzman, W. Mark, primary, and Santin, Alessandro D., primary

Published
2023
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30. Intraductal Delivery and X-ray Visualization of Ethanol-Based Ablative Solution for Prevention and Local Treatment of Breast Cancer in Mouse Models

Author

Kenyon, Elizabeth, primary, Zaluzec, Erin K., primary, Powell, Katherine, primary, Volk, Maximilian, primary, Chakravarty, Shatadru, primary, Hix, Jeremy, primary, Arora, Ripla, primary, Westerhuis, Jennifer J., primary, Kiupel, Matti, primary, Shapiro, Erik M., primary, and Sempere, Lorenzo F., primary

Published
2022
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31. Clostridium perfringens enterotoxin C-terminal domain labeled to fluorescent dyes for in vivo visualization of micrometastatic chemotherapy-resistant ovarian cancer

Author

Cocco, Emiliano, Shapiro, Erik M., Gasparrini, Sara, Lopez, Salvatore, Schwab, Carlton L., Bellone, Stefania, Bortolomai, Ileana, Sumi, Natalia J., Bonazzoli, Elena, Nicoletti, Roberta, Deng, Yang, Saltzman, Mark W., Zeiss, Caroline J., Centritto, Floriana, Black, Jonathan D., Silasi, Dan-Arin, Ratner, Elena, Azodi, Masoud, Rutherford, Thomas J., Schwartz, Peter E., Pecorelli, Sergio, and Santin, Alessandro D.

Published
2015
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