Results 181 to 190 of about 188,771 (295)

Microphysiological Systems in Cancer Research: Advancing Immunotherapy through Tumor Microenvironment‐Integrated Organ‐On‐Chip Models

open access: yesAdvanced Therapeutics, EarlyView.
Emerging microphysiological systems reproduce the spatial, biochemical, and cellular complexity of the tumor microenvironment, surpassing 2D cultures and murine models. By integrating patient‐derived tumors, perfusable vasculature, and immune trafficking, these organ‐on‐chip platforms reveal mechanisms of immune evasion, predict therapeutic responses ...
Fabiana Moresi   +5 more
wiley   +1 more source

Antigenicity and immunogenicity of SARS-CoV-2 surface glycoprotein fragment in CHO cells. [PDF]

open access: yesIran J Microbiol, 2023
Karimi S   +4 more
europepmc   +1 more source

Evolution of Ocular Organ‐On‐Chip Systems for Disease Modelling and Drug Testing: Where are We Now?

open access: yesAdvanced Therapeutics, EarlyView.
The rise in ophthalmic diseases due to aging, screen use, and environmental factors has driven demand for better ocular models. Traditional systems fall short, encouraging the development of organ‐on‐chip devices. These microfluidic platforms replicate eye tissue architecture, enable drug screening, and simulate ocular diseases.
Sara Trujillo
wiley   +1 more source

SWATH-MS insights on sodium butyrate effect on mAbs production and redox homeostasis in CHO cells. [PDF]

open access: yesAMB Express
Galli M   +7 more
europepmc   +1 more source

Life at the periphery: what makes CHO cells survival talents. [PDF]

open access: yesAppl Microbiol Biotechnol, 2022
Jerabek T   +5 more
europepmc   +1 more source

Quantitative mammalian cell mutagenesis and mutagen screening: study with CHO cells

open access: green, 1979
Abraham W. Hsie   +3 more
openalex   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

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