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Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|March 10, 2026
AI-enhanced non-invasive diagnosis of chronic kidney disease using LIBS of fingernail biomarkersImran Rehan, Muhammad AamirBiomedical Physics & Engineering Express|October 7, 2025
Cardiovascular risk prediction in diabetes: a hybrid machine learning approachImran Rehan, Mujeeb Ur RehmanApplied Spectroscopy|September 5, 2024
Integrating Laser-Induced Breakdown Spectroscopy and Ensemble Learning as Minimally Invasive Optical Screening for DiabetesImran Rehan, Saranjam Khan, Rahat UllahJournal of Fluorescence|August 3, 2023
Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning AlgorithmImran Rehan, Rahat Ullah, Saranjam KhanSpectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|June 4, 2024
Utilizing machine learning algorithms for precise discrimination of glycosuria in fluorescence spectroscopic dataRahat Ullah, Imran Rehan, Saranjam KhanApplied Spectroscopy|April 15, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 DiabetesImran Rehan, Kamran Rehan, Sabiha Sultana, et al.Heliyon|May 1, 2024
Fabrication of nano filler doped PVA/starch biodegradable composites with enhanced thermal conduction, water barrier and antimicrobial performance for food industrySabiha Sultana, Sohail Imran, Amir Naveed, et al.Pageof 1