Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data

Synthetic and naturally occurring particles, such as nanoparticles (NPs) and exosomes; a type of extracellular vesicles (EVs), have garnered widespread attention across various fields, including biomaterials, oncology, and delivery systems for drugs and vaccines. Traditional methods for identifying...

Full description

Saved in:

Bibliographic Details
Main Authors:	Abhimanyu Thakur, Pedro Correia Santos Bezerra, Abhishek, Shihao Zeng, Kui Zhang, Werner Treptow, Alexander Luna, Urszula Dougherty, Akushika Kwesi, Isabella R. Huang, Christine Bestvina, Marina Chiara Garassino, Fuyu Duan, Yash Gokhale, Bin Duan, Yin Chen, Qizhou Lian, Marc Bissonnette, Jianpan Huang, Huanhuan Joyce Chen
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-09-01
Series:	Bioactive Materials
Subjects:	Nanoparticle Extracellular vesicle Electrokinetic analysis Machine learning Quantum machine learning Liquid biopsy
Online Access:	http://www.sciencedirect.com/science/article/pii/S2452199X25001331
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data

Similar Items