Our paper, “Meta-Analysis and Machine Learning Prediction of Protein Corona Composition Across Nanoparticle Systems in Biological Media,” showcases how AI and data-driven approaches can decode the complex interactions between nanoparticles and proteins.

🧠 About the Cover:
A machine learning-driven meta-analysis reveals patterns in protein corona formation across nanoparticles, providing insights that guide safer and more effective nanomedicine design.

This collaborative work represents an exciting step toward rationally engineering nanoparticles for improved delivery and safety.

Special thanks to Assistant Project Scientist, Dr. Alexa Canchola, who led this study, and to all our co-authors from the University of Florida and University of California, Riverside, for their dedication and creativity that made this work possible!

You can view the issue and download the official cover from the ACS Nano website here:
🔗 https://lnkd.in/gXX3KDAJ