Combination Nanomedicine Strategy for Preventing High-Risk Corneal Transplantation Rejection
T Meng, J Zheng, CS Shin, N Gao, D Bande… - ACS …, 2024 - ACS Publications
High-risk (HR) corneal transplantation presents a formidable challenge, with over 50% of
grafts experiencing rejection despite intensive postoperative care involving frequent topical …
grafts experiencing rejection despite intensive postoperative care involving frequent topical …
[HTML][HTML] Alternative Therapies in Transplantology as a Promising Perspective in Medicine
N Michalska, E Totoń, P Kopczyński… - Annals of …, 2024 - ncbi.nlm.nih.gov
Despite continuous and rapid progress in the transplantation of cells, tissues, and organs,
many patients die before receiving them. This is because of an insufficient number of …
many patients die before receiving them. This is because of an insufficient number of …
Nanoparticle-hydrogel composite as dual-drug delivery system for the potential application of corneal graft rejection
X Xu, Y Wu, R Gu, Z Zhang, X Liu, Y Hu, X Li… - European Journal of …, 2024 - Elsevier
Immune rejection remains the major cause of corneal graft failure. Immunosuppressants
(such as rapamycin; RAPA) adjunctive to antibiotics (such as levofloxacin hydrochloride; …
(such as rapamycin; RAPA) adjunctive to antibiotics (such as levofloxacin hydrochloride; …
Dexamethasone sodium phosphate loaded nanoparticles for prevention of nitrogen mustard induced corneal injury
Nitrogen mustard (NM) is a potent vesicating chemical warfare agent that is primarily
absorbed through skin, inhalation, or ocular surface. Ocular exposure of NM can cause …
absorbed through skin, inhalation, or ocular surface. Ocular exposure of NM can cause …
[HTML][HTML] YOLO-ET: A Machine Learning model for detecting, localising and classifying anthropogenic contaminants and extraterrestrial microparticles optimised for …
LJ Pinault, H Yano, K Okudaira, IA Crawford - Astronomy and Computing, 2024 - Elsevier
Imminent robotic and human activities on the Moon and other planetary bodies would
benefit from advanced in situ Computer Vision and Machine Learning capabilities to identify …
benefit from advanced in situ Computer Vision and Machine Learning capabilities to identify …