Intelligent acoustofluidic patches for personal healthcare
Acoustics have tremendously improved medicine by aiding in diagnosing, monitoring, treating, and managing various medical conditions. However, traditional acoustic medical approaches like acoustofluidics still rely on manual operation and post-test data analysis, leading to inaccuracies, low efficiency, and limited robustness in real-world settings. The integration of artificial intelligence (AI) could address these challenges, thanks to its ability to learn from data, make accurate predictions, and automate dynamic system control. As such, our group is dedicated to developing and integrating “Intelligent Acoustofluidics” by leveraging innovative acoustofluidic device design, sensor fusion, and AI-guided system integration to interface with individual patients. Here, we will discuss our recent development of intelligent acoustofluidic patches to showcase their translational applications in personalized therapy. We hope to create innovative intelligent systems that are highly efficient, accurate, and convenient, ultimately revolutionizing precision and translational medicine.
Authors
- Feng Guo (ORCID: https://orcid.org/0000-0001-9103-3235)
Institutions
- Indiana University Bloomington (US)
Publication Details
- Journal
- The Journal of the Acoustical Society of America
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1121/10.0037398
- Primary Topic
- Microfluidic and Bio-sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00