Artificial Intelligence in Biomaterials Design and Development

Mohsen Khodadadi Yazdi is an experienced chemical/polymer engineer who received his BSc degree (chemical engineering) from the Ferdowsi University of Mashhad, Iran, followed by a MSc (2010) from the Sharif University of Technology, Tehran, Iran. He received his PhD (2017) in polymer engineering from the University of Tehran, Iran. He is currently a Senior Researcher at the Center of Excellence in Electrochemistry, University of Tehran, Iran. His research interests include smart hydrogel/biopolymers, carbon-based nanomaterial, conducting polymers, and machine learning for utilization in biomedical applications. He has contributed to >20 scientific papers and book chapters. Payam Zarrintaj is Principal Scientist in the Biomedical and Pharmaceutical Science Department at the University of Montana, Montana, United States. He is an experienced polymer engineer; he received his BSc degree from Amirkabir University of Technology, Iran, followed by a MSc (2013) and PhD (2018) from Tehran University, Iran. His research interests include smart hydrogel/polymers and nanoparticles with well-controlled microstructures and properties for biomedical applications. He has contributed to >90 scientific papers and book chapters. Dr. Mohammad Reza Saeb received his PhD in 2008 from Amirkabir University of Technology (Iran) and is currently a Professor at the Department of Pharmaceutical Chemistry, Medical University of Gdańsk (Poland). His research focuses on advanced materials and manufacturing processes, including polymer blends, composites, and nanocomposites, with particular emphasis on biomaterials and flame-retardant polymers, as well as the recycling and upcycling of polymer and biowastes. He has authored or co-authored more than 500 articles in high-impact journals and is currently serving as the Editor-in-Chief of Polymers from Renewable Resources, published by SAGE.Dr. Masoud Mozafari is a Fellow at Lunenfeld Tanenbaum Research Institute, Mount Sinai Health Hospital, University of Toronto. He was previously Assistant Professor and Director of the Bioengineering Lab, at the Nanotechnology and Advanced Materials Department, Materials and Energy Research Center, Cellular and Molecular Research Center, and Department of Tissue Engineering and Regenerative Medicine of the Iran University of Medical Sciences (IUMS), Tehran, Iran. Dr. Mozafari’s research interests range across biomaterials, nanotechnology, and tissue engineering, and he is known for the development of strategies for the treatment of damaged tissues and organs, and controlling biological substances for targeted delivery into the human body. Dr. Mozafari has received several awards, including the Khwarizmi Award and the Julia Polak European Doctorate Award for outstanding translational research contributions to the field of biomaterials. He has also received the WIPO Medal for Inventors from The World Intellectual Property Organization (WIPO), in recognition of his contributions to economic and technological development. Dr. Mozafari is currently working on the editorial board of several journals. Dr. Sidi A. Bencherif earned a Ph.D. in Chemistry from Carnegie Mellon University in 2009 and is a Senior Researcher at CNRS. A world-renowned expert in biomaterials, he is recognized among the top 2% of scientists worldwide by Stanford University and Elsevier. His research focuses on the design of advanced biomaterials for therapeutic applications, with an emphasis on regenerative medicine, drug delivery, and cancer immunotherapy. Dr. Bencherif’s work bridges cutting-edge materials science with clinical outcomes, addressing key medical challenges by integrating innovative biomaterials into clinical practice.

• 1. Introduction to artificial intelligence, machine learning, and deep learning2. Useful tools and datasets for materials science and engineering3. Artificial neural networks4. From human genome to materials genome5. Biomaterials properties-prediction based on discriminative models6. de novo materials design based on generative models7. AI-assisted synthesis planning and optimization of biomaterials8. AI-assisted characterization of biomaterials9. AI-assisted evaluation of biomaterials10. AI and biomaterials in drug and vaccine development11. AI and biomaterials in protein engineering12. AI in biopolymer design/discovery/engineering13. AI in designing/discovery of other biomaterials14. AI-assisted biomaterials structures at scales15. AI-assisted materials/scientific discoveries: Beyond pure machine learning16. State-of-the-art and future perspectives on ML-assisted biomaterials design/discovery