Freeze‐Thaw‐Induced Patterning of Extracellular Vesicles with Artificial Intelligence for Breast Cancers Identifications

Small, Год журнала: 2024, Номер unknown

Опубликована: Дек. 15, 2024

Extracellular vesicles (EVs) play a crucial role in the occurrence and progression of cancer. The efficient isolation analysis EVs for early cancer diagnosis prognosis have gained significant attention. In this study, first time, rapid visually detectable method termed freeze-thaw-induced floating patterns gold nanoparticles (FTFPA) is proposed, which surpasses current state-of-the-art technologies by achieving 100 fold improvement limit detection EVs. Notably, it allows multi-dimensional visualizations through site-specific oligonucleotide incorporation. This capability empowers FTFPA to accurately identify derived from subtypes breast cancers with artificial intelligence algorithms. Intriguingly, learning freezing-thawing-microstructures random forest algorithm not only able distinguish their original cell lines (with an accuracy 95.56%), but also succeed processing clinical samples (n = 156) healthy donors, lump (Luminal A, Triple-negative cancer, Luminal B) 83.33%. Therefore, AI-empowered micro-visualization establishes precise point-of-care platform that applicable both fundamental research settings.

Язык: Английский

Exosomal non-coding RNAs (ncRNAs) as potential biomarkers in tumor early diagnosis

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Год журнала: 2024, Номер unknown, С. 189188 - 189188

Опубликована: Сен. 1, 2024

Язык: Английский

Advancements in Exosome Proteins for Breast Cancer Diagnosis and Detection: With a Focus on Nanotechnology

AAPS PharmSciTech, Год журнала: 2024, Номер 25(8)

Опубликована: Ноя. 27, 2024

Язык: Английский