Artificial Intelligence-Driven Nanosensing to Identify Circulating Bacterial DNA: A Novel Approach to Breast Cancer Risk Profiling

This paper presents an AI-driven nanosensing approach using perovskite quantum dots and LSTM deep learning to rapidly and selectively detect specific bacterial DNA markers associated with breast cancer, offering a promising point-of-care diagnostic tool for early risk profiling.

Original authors: Nazeer, N., Ratre, P., Gurjar, V., Goryacheva, O., Lodhi, S., Bhargava, A., Goryacheva, I. Y., Mishra, P. K.