Hela

The 'Hela' dataset/benchmark contains extracellular vesicles (EVs) derived from the HeLa cell line and is used to evaluate the accuracy of AI-assisted Surface-enhanced Raman spectroscopy (SERS) methods for non-invasive detection of EVs in biofluids like tears and sweat.

Papers using Hela (3)

AI-Driven SERS for Non-invasive and Label-Free Extracellular Vesicle Detection Across Cellular Origins in Tears and Sweat2026TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery2024 · 4 citesPredicting Transcription Factor Binding Sites using Transformer based Capsule Network2023 · 1 cites