Biomedical spectroscopy with machine learning

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