Results 281 to 290 of about 1,754,298 (385)

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy

open access: yesAdvanced Science, EarlyView.
Predicting immune responses to treatments, including nanomedicines, with high throughput test is challenging due to the immunoreactome's complexity and plasticity. A predictive screening platform integrating pathway activation and gene profiling in macrophages has been developed as a versatile tool for designing effective immunotherapies.
Sonia Becharef   +12 more
wiley   +1 more source

Exploring AAV‐Mediated Gene Therapy for Inner Ear Diseases: from Preclinical Success to Clinical Potential

open access: yesAdvanced Science, EarlyView.
Current preclinical studies of AAV‐mediated gene therapy explore different strategies based on the characteristics of inner ear diseases. For genetic hearing loss, approaches include the replacement of a “good gene,” removal of a “bad gene,” or direct correction of mutations through base editing.
Fan Wu   +7 more
wiley   +1 more source

LRRC8A Regulates Outer Hair Cell Volume and Electromotility and is Required for Hearing

open access: yesAdvanced Science, EarlyView.
This study identifies LRRC8A‐dependent volume‐regulated anion channels (VRACs) as essential for cochlear outer hair cells' electromotility and auditory signal amplification. LRRC8A deficiency disrupts cell volume control, impairs auditory sensitivity, and causes deafness, while targeted LRRC8A re‐expression restores auditory function.
Shengnan Wang   +15 more
wiley   +1 more source

Prevalence of oral submucous fibrosis among 50,915 Indian villagers

open access: green, 1968
J. J. Pindborg   +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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