Deep Learning-Based Artificial Intelligence to Investigate Targeted Nanoparticles’ Uptake in TNBC Cells

Deep Learning-Based Artificial Intelligence to Investigate Targeted Nanoparticles’ Uptake in TNBC Cells

Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer in women. It has the poorest prognosis along with limited therapeutic options. Smart nano-based carriers are emerging as promising approaches in treating TNBC due to their favourable characteristics such as specific...

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Bibliographic Details
Main Authors: Rafia Ali, Mehala Balamurali, Pegah Varamini
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:International Journal of Molecular Sciences
Subjects:
artificial intelligence
machine learning
image classification
nanoparticles
triple negative breast cancer
drug cellular uptake
Online Access:https://www.mdpi.com/1422-0067/23/24/16070

Internet

https://www.mdpi.com/1422-0067/23/24/16070

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