Nophar Geifman

Professor Nophar Geifman is a leading academic in Health and Biomedical Informatics at the University of Surrey's School of Health Sciences, affiliated with the Digital Health Expert Group. His research focuses on leveraging AI, big data analytics, and omics technologies to improve patient outcomes in healthcare. He specializes in translational research, particularly in proteomics, genomics, and machine learning applications for disease prediction and treatment optimization.

Key research areas include analyzing large datasets like the UK Biobank to study treatment outcomes in endocrine disorders, autoimmune conditions (e.g., juvenile arthritis, lupus), and renal diseases. He also explores diet-health correlations, viral pathogenesis (e.g., RSV), and methodological challenges in omics research. His work emphasizes real-world impact, such as developing clinical decision tools and improving biomarker reliability.

Publications span peer-reviewed journals in rheumatology, nephrology, epidemiology, and data science. He actively addresses challenges in clinical trial data integration, reproducibility of biomarker studies, and the ethical use of large-scale health data. His interdisciplinary approach bridges computational methods with clinical practice, aiming to drive precision medicine and patient-centric care.