Abstract
Nanoparticles loaded with anti-cancer drugs are designed to selectively target Lung Cancer Cells (LCCs) by interacting with various receptors. Hydrophobin-coated niosomes, a type of carrier system, show lower cytotoxicity in vitro compared to existing anti-cancer drugs. The hydrophobin-coated formulation demonstrates higher cytotoxicity against cancer cells than control cells. Lung cancer can spread to distant organs, posing challenges such as multidrug resistance and recurrence. Traditional chemotherapies may face resistance due to genetic mutations. Convolutional Neural Network (CNN)-based automatic organ segmentation has been validated for radiation treatment planning in lung cancer patients. LCCs-CNN niosomes, similar to liposomes, offer enhanced cellular membrane permeability and high biocompatibility. This carrier system shields the drug molecule from breakdown and deactivation. Hydrophobin-coated niosomes outperform polyethylene glycol-coated ones in various aspects, including size distribution, entrapment efficiency, release profile, biocompatibility, and cancer prevention success.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.