Biomedical spectroscopy with machine learning
FTIR and Raman spectroscopy of blood and cells for rapid clinical diagnosis
Rapid clinical diagnosis from infrared and Raman spectroscopy of blood, white blood cells, and tissue, using machine-learning-based decision logic. Collaboration with Prof. Ahmad Salman and Prof. Itshak Lapidot.
Topics:
- Interpretable spectral biomarkers and augmentation strategies
Representative publications:
- U. Sharaha, Y. D. Eshel, D. Bykhovsky, J. Mazar, I. Lapidot, M. Huleihel, S. Mordechai, A. Salman, and J. Kapelushnik, “Augmentation of Infrared Microscopy of White Blood Cells and Medical Measures for Rapid and Accurate Diagnosis of Bacterial or Viral Infections in Febrile Pediatric Oncology Patients: An Expert System-Based Study,” Analytical Chemistry, vol. 97, no. 6, pp. 2489–2497, 2025. doi:10.1021/acs.analchem.4c03831
- U. Sharaha, D. Hania, D. Bykhovsky, I. Lapidot, M. Huleihel and A. Salman, “Raman spectroscopy in tandem with machine learning – based decision logic methods for characterization and detection of primary precancerous and cancerous cells,” Analyst, vol. 150, pp. 883–891, 2025. doi:10.1039/D5AN00360A
- Y. Eshel, U. Sharaha, D. Bykhovsky, M. Chernyak, M. Asleh, H. Miskin, I. Lapidot, S. Mordechai, J. Kapelushnik, and A. Salman, “Rapid diagnosis of bacteremia in febrile pediatric oncology patients via host-response infrared spectroscopy of blood and machine learning,” Analytical Chemistry, 2026 (accepted). doi:10.1021/acs.analchem.5c07862
- U. Sharaha, Y. D. Eshel, D. Bykhovsky, M. Chernyak, M. Asleh, H. Miskin, I. Lapidot, S. Mordechai, J. Kapelushnik, and A. Salman, “Diagnosing Infection Etiology from Immune-Response FTIR Spectroscopy of White Blood Cells and Machine Learning: Interpretable Spectral Biomarkers Distinguishing Bacteremia, Focal Bacterial Infection, and Viral Diseases,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 356, p. 127686, 2026. doi:10.1016/j.saa.2026.127686