Soltanilab

SoltaniLab is a multidisciplinary research group at Tabriz University of Medical Sciences, dedicated to advancing the frontiers of pharmaceutical sciences and artificial intelligence. Our team combines molecular dynamics simulations, machine learning, QSAR/QSPR modeling, bioequivalence studies, and drug delivery design to address pressing challenges in healthcare and the pharmaceutical industry. With a strong focus on AI-driven R&D, computational drug repurposing, nanomedicine, and regulatory science, SoltaniLab strives to bridge the gap between cutting-edge research and real-world pharmaceutical applications. We collaborate with academic, clinical, and industrial partners in Iran and internationally to foster innovation, empower young scientists, and contribute to the future of smart, sustainable, and patient-centered medicine. Research Areas: AI in Pharma | Molecular Dynamics | Machine Learning for Drug Design | Bioequivalence | Nanomedicine | Regulatory Science Mission: To integrate AI, computational sciences, and pharmaceutical innovation for improving global health.