Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques
02/01/2023
Hilltop Principal Data Scientist Fei Han, PhD, was a coauthor of this study published in Sensors. The researchers combined machine learning and statistical approaches to extract connectivity signatures, which can be utilized to distinguish aging brains and monitor possible treatment efficacy.