Results 261 to 270 of about 482,699 (357)

Metal ions and nanomaterials for targeted bone cancer immunotherapy. [PDF]

open access: yesFront Immunol
Qin S, Hu Y, Luo H, Chu W, Deng R, Ma J.
europepmc   +1 more source

Recent Advancements in Lung Cancer Metastasis Prevention Based on Nanostrategies

open access: yesAdvanced Science, EarlyView.
Metastasis is the leading cause of death in patients with lung cancer. Nanomedicine can be used to prepare efficient drug delivery systems owing to their advantages and plays an important role in the synergistic antimetastasis of lung cancer. This comprehensive review summarizes the emerging nanostrategies against lung cancer metastasis based on the ...
Fan Xu   +7 more
wiley   +1 more source

Pipelines for lymphocyte homeostasis maintenance during cancer immunotherapy. [PDF]

open access: yesFront Immunol
Du B   +9 more
europepmc   +1 more source

Machine Learning‐Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi‐Omics

open access: yesAdvanced Science, EarlyView.
This study develops noninvasive clinical‐radiomic models using preoperative CT images to predict the malignant potential of pancreatic cystic lesions. It demonstrates the models' high accuracy across various datasets, with AUCs exceeding 0.92. Additionally, multi‐omics analyses uncover key biological mechanisms, including secretion function and lipid ...
Sihang Cheng   +14 more
wiley   +1 more source

Dendritic Cell-Based Xenoantigen Vaccination for Prostate Cancer Immunotherapy [PDF]

open access: bronze, 2001
Lawrence Fong   +6 more
openalex   +1 more source

The Benefits and Safety of Monoclonal Antibodies: Implications for Cancer Immunotherapy. [PDF]

open access: yesJ Inflamm Res
Zhang S   +7 more
europepmc   +1 more source

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

open access: yesAdvanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu   +38 more
wiley   +1 more source

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