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Full-Text Articles in Engineering
Liver Cancer: Current And Future Trends Using Biomaterials, Sue Anne Chew, Stefania Moscato, Sachin George, Bahareh Azimi, Serena Danti
Liver Cancer: Current And Future Trends Using Biomaterials, Sue Anne Chew, Stefania Moscato, Sachin George, Bahareh Azimi, Serena Danti
Health & Biomedical Sciences Faculty Publications and Presentations
Hepatocellular carcinoma (HCC) is the fifth most common type of cancer diagnosed and the second leading cause of death worldwide. Despite advancement in current treatments for HCC, the prognosis for this cancer is still unfavorable. This comprehensive review article focuses on all the current technology that applies biomaterials to treat and study liver cancer, thus showing the versatility of biomaterials to be used as smart tools in this complex pathologic scenario. Specifically, after introducing the liver anatomy and pathology by focusing on the available treatments for HCC, this review summarizes the current biomaterial-based approaches for systemic delivery and implantable tools …
Fabrication And Imaging Characterization Of Poly (Dimethyl Siloxane)/Sic Nano-Fillers Samples As Model Biomaterials, Tetiana Soloviova, Viorica Gutu, Zoya Vinokur, Akm S. Rahman, Subhendra Sarkar
Fabrication And Imaging Characterization Of Poly (Dimethyl Siloxane)/Sic Nano-Fillers Samples As Model Biomaterials, Tetiana Soloviova, Viorica Gutu, Zoya Vinokur, Akm S. Rahman, Subhendra Sarkar
Publications and Research
Biopolymers are being developed with embedded nanostructures for in vivo drug delivery to treat various diseases including cancers. In the current project we developed fabrication steps to prepare two biopolymers, poly di-methoxy siloxane (PDMS) with 0-0.9 vol% of SiC nano whisker (fillers) followed by non- destructive characterization. Optical reflection microscopy (5-100X) was performed to ensure loading and distribution of increasing SiC content. Optical microscopy showed progressively higher SiC distribution as filler loading was increased from 0-0.9 vol%. X-ray imaging at low kV (kilovoltage) and low mAs (milliamperage per second) were optimized to allow distinction between filled PDMS with SiC concentration …