Postdoctoral Fellow Dr. Soha Yousaf
“We conducted this study to empower surgeons with better decision-making tools during orthopedic and neurosurgical procedures by revealing unique biomolecular signatures of tissues that we commonly encounter.
The authors aimed to support real-time, informed surgical decision-making by distinguishing each tissue type and identifying key Raman biomarkers that increase transparency in machine learning models that drive those decisions. Together, the models provided an interpretable output that provided high classification performance and molecular-level insights.
“By integrating Raman spectroscopy with interpretable machine learning, we not only identified key tissue biomarkers, but also revealed how these features guide classification decisions,” she continued. “This represents a critical step in building smart, transparent technologies that can enable safer, more accurate, reliable, real-time surgical guidance.”
Soha Yousuf is a postdoctoral associate in the Advanced Biophotonics and Imaging (LAB-PI) laboratory at New York University Abu Dhabi. Her research focuses on optical sensing techniques, primarily Raman spectroscopy, in combination with machine learning in tissue classification applications. She is also implementing a project to advance the surface-enhanced Raman Spectroscopy (SERS) platform for biomedical applications. She received her PhD in Electrical and Computer Engineering from the University of Khalifa in the United Arab Emirates.
sauce: American Laser Medicine and Surgery Association
