Results 171 to 180 of about 252,921 (351)

Development of a Modular Ribonucleoprotein Complex as a General Strategy to Deliver RNAi Therapeutics

open access: yesAdvanced Healthcare Materials, EarlyView.
A modular and customizable RNAi therapeutics delivery platform composed of a pseudosymmetric human RNA binding protein‐siRNA complex (SmiRNP) is developed. By fusing a targeting module and an endosomal escape peptide onto the delivery platform, SmiRNP successfully delivered siRNA to silence the KRAS oncogene in a colorectal carcinoma cell line, leading
Nok Yin Tam   +9 more
wiley   +1 more source

Digitonin‐Loaded Nanoscale Metal–Organic Framework for Mitochondria‐Targeted Radiotherapy‐Radiodynamic Therapy and Disulfidptosis

open access: yesAdvanced Materials, EarlyView.
A mitochondria‐targeted cationic nanoscale metal organic framework shows strong radiotherapy‐radiodynamic therapy effects and selectively releases digitonin in acidic tumor microenvironments to induce disulfidptosis of cancer cells and downregulate immune checkpoints in cancer and T cells, thereby eliciting strong antitumor immunity to effectively ...
Wenyao Zhen   +7 more
wiley   +1 more source

Diagnostic Accuracy Of Fecal Occult Blood Tests For Detecting Proximal Versus Distal Colorectal Neoplasia: A Systematic Review And Meta-Analysis

open access: yesClinical Epidemiology, 2019
Ming Lu,1,* Xiaohu Luo,2,* Ni Li,1 Hongda Chen,1 Min Dai1 1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People’s Republic ...
Lu M, Luo X, Li N, Chen H, Dai M
doaj  

Helicobacter pylori infection and colorectal neoplasm [PDF]

open access: yesQJM: An International Journal of Medicine, 2019
V H Chong, C F Chong
openaire   +2 more sources

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

open access: yesAdvanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy