Biography:

Ms. Maryam Khaleghian is a researcher in Molecular Genetics at Payame Noor University of Tehran, Kish International Campus, Iran, specializing in the application of artificial intelligence (AI) in biomedical research. Her work focuses on disease classification and prediction using machine learning and deep learning techniques. She has contributed to advancing precision medicine through AI-driven models. Maryam actively participates in international conferences, presenting AI-driven solutions for genetic disorders, disease risk assessment, and predictive analytics in healthcare. She has Under Review Papers in peer-reviewed journals and collaborates on multidisciplinary projects bridging genomics and AI. Her expertise includes bioinformatics, statistical modeling, and deep learning architecture like CNNs, RNNs, and transformer models. Proficient in Python, R, and MATLAB, she applies these tools for genomic data analysis and predictive modeling. Dedicated to innovation in biomedical AI, she continues expanding her research through academic collaborations and advanced training programs.