Results 211 to 220 of about 709,300 (306)

Nano‐Enabled Systemic Delivery of STING Agonist by Engineered Silicasome for Potent Antitumor Immunotherapy

open access: yesAdvanced Science, EarlyView.
Engineered mesoporous silica nanoparticles (Silicasomes) enable systemic delivery of the STING agonist ADU‐S100, overcoming the instability and toxicity that limit cyclic dinucleotides to local administration. By enhancing tumor accumulation, activating systemic antitumor immunity, and remodeling the tumor immune microenvironment, these nanoparticles ...
Wenjing Zhou   +10 more
wiley   +1 more source

Peritumoral habitat radiomics predicts axillary lymph node metastasis in breast cancer. [PDF]

open access: yesiScience
Ding J   +7 more
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

Divergent Roles of mGlu2 and mGlu3 Receptors in Amyloid‐β Production and Cognitive Dysfunctions in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon   +21 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

Lymph Node Dissection Guideline Adherence and Survival in Patients With T1N0M0 Lung Adenocarcinoma.

open access: yesJAMA Oncol
Li R   +8 more
europepmc   +1 more source

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