Results 231 to 240 of about 445,656 (308)

Adipose Tissue Macrophages as Initiators of Exacerbated Periodontitis in Estrogen‐Deficient Environments via the Amplifier Extracellular Vesicles

open access: yesAdvanced Science, EarlyView.
Chronic systemic inflammation, worsened by estrogen deficiency, underlies and exacerbates periodontitis. Proinflammatory macrophages within visceral adipose tissue are hyperactivated due to hyper‐DNA methylation, releasing small extracellular vesicles (sEVs) similar to those of their parent cells.
Danfeng Li   +6 more
wiley   +1 more source

CLINICAL STUDIES ON GASTRIC CANCER

open access: bronze, 1968
Atsushi Nakamura   +6 more
openalex   +2 more sources

Single‐Droplet Dual‐Target Quantification of circRNA Biomarkers for Colorectal Cancer Screening

open access: yesAdvanced Science, EarlyView.
Circular RNAs are crucial in tumorigenesis. This study identifies circCK1γ3 and circWDR37 as dual plasma biomarkers for colorectal cancer (CRC) screening. It is developed Casµchip, a droplet microfluidic chip using Cas13a/b technology to quantify these biomarkers.
Jingsong Xu   +11 more
wiley   +1 more source

Leptomeningeal carcinomatosis in gastric cancer: A Review. [PDF]

open access: yesGastric Cancer
Arjani S   +4 more
europepmc   +1 more source

Microfluidic Biochip‐Based Multiplexed Profiling of Small Extracellular Vesicles Proteins Integrated with Machine Learning for Early Disease Diagnosis

open access: yesAdvanced Science, EarlyView.
This study develops a diagnostic platform for early detection of esophageal squamous cell carcinoma (ESCC) by integrating a barcode immunoassay biochip with machine learning. The biochip captures and analyzes small extracellular vesicle proteins from serum samples, identifying nine biomarkers linked to ESCC.
Xue Zhang   +14 more
wiley   +1 more source

A Network‐Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia

open access: yesAdvanced Science, EarlyView.
A network‐based precision medicine platform, named NetAML is offered for personalized treatment of AML. It combines network analysis and machine learning to develop 87 models predicting drug sensitivity for clinical drugs. NetAML identifies interpretable gene signatures that drive differential drug responses, enabling the prediction of individual ...
Yinyin Wang   +7 more
wiley   +1 more source

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