Artificial Intelligence in Tissue and Organ Regeneration

Dr. Chandra P. Sharma is an Adjunct Professor, Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal University, and Hon. Emeritus Professor, College of Biomedical Engineering & Applied Sciences, Purbanchal University, Kathmandu, Nepal. Dr. Sharma is a Solid-State Physicist from IIT Delhi and received his training in Biomaterials area in the University of Utah with Prof. D.J. Lyman as a graduate student and in the University of Liverpool, England with Prof. D.F. Williams as a Post-Doctoral Research Associate. Dr. Sharma has been awarded FBSE (Fellow Biomaterials Science & Engineering) by The International Union of Societies for Biomaterials Science & Engineering (IUS-BSE) in 2008 and FBAO (Fellow Biomaterials and Artificial Organs) by Society for Biomaterials & Artificial Organs (India) (SBAOI) in 2011 and shares Whitaker and National Science Foundation Award – International Society for Artificial Organs (ISAO) USA, invited member ACS (2015-2018). Dr. Thomas Chandy is a biomaterial expert with unique combination of medical device and technical knowledge. He has strong academic credentials in human physiology and bio-compatible materials with test methods and model development. Dr. Chandy has published over 80 scientific papers in international Journals and 3 patents in the medical device and drug delivery area. Reviewer to 7+ international journals of repute in Drug delivery and Biomedical Research. Twenty-Five years of experience as a project lead in medical device and technology development. Strong experience with broad range of medical products including polymeric and tissue-based implantable, site specific drug delivery, medical diagnostics and combination devices. Product/process development skills with demonstrated success from concept through commercialization involving selection of materials, characterization, biological evaluation of materials, bench, feasibility tests and pre-clinical (animal) testing. Dr. Vinoy Thomas is an Associate Professor and Graduate Program Director in the Department of Mechanical and Materials Engineering at the University of Alabama at Birmingham, with secondary appointments in Biomedical Engineering, Physics, and Environmental Science & Health. He's also an Associate Scientist at the Center for Nanoscale Materials and Biointegration and the Center for Clinical and Translational Sciences. Following his PhD in Biomaterials & Technology, he completed postdoctoral training at Friedrich-Schiller University, Germany, and the National Institute of Standards and Technology (NIST), USA. His research focuses on biomaterials processing–property relationships and nanomaterials for tissue engineering and drug delivery. Dr. Thomas has published over 120 articles and co-edited two books on tissue engineering and AI in regenerative medicine. He serves as Associate Editor of Heliyon (Engineering) and has received multiple honors, including FBAO, FAAS, and the IAAM Scientist Medal. He currently leads several professional organizations in biomaterials and materials science.

• Section 1. Machine learning and artificial concepts1. Artificial intelligence in tissue and organ regeneration: An introduction2. Introduction to AI and ML algorithms3. Machine learning and AI approaches for design of tissue scaffolds4. Use of artificial intelligence in assistive devicesSection 2. AI applications in organ regeneration5. Applying artificial intelligence in solid organ failure, organ transplant selection, preservation, and regeneration6. AI in angiogenesis moving toward designer vasculature7. Prospects of artificial intelligence in endogenous and exogenous regeneration and repair of organs8. AI on DDS for regenerative medicine9. Optimization of bio-ink using machine learning10. Artificial intelligence in stem cell therapies and organ regenerationSection 3. AI applications and bio-manufacturing11. AI in multiscale scaffolds for cancer organoids testbed 12. Complex data representation, modeling and computational power for a personalized dialysis13. Neural encoding of artificial sensations evoked by peripheral nerve stimulation for neuroprosthetic applications14. Applying AI to advanced biomanufacturing15. Regulatory pathways for ML and AI devices16. AI and ML: future challenges and perspective in artificial organs realm