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. He also holds secondary appointments at the Department of Biomedical Engineering, Department of Physics and Department of Environmental Science & Health. Dr. Thomas is also an Associate Scientist at the Center for Nanoscale Materials and Biointegration (CNMB) and Center for Clinical and Translational Sciences (CCTS). After his PhD in Biomaterials & Technology, he completed postdoctoral training at Friedrich-Schiller University (FSU), Jena, Germany, and at the National Institute of Standards & Technology (NIST), Gaithersburg, USA. His research focuses on biomaterials processing-property relationships, nanomaterials for tissue engineering and drug delivery . He has published over 120 scientific research and review articles (h- index: 36), co-edited two books (Tissue Engineering, Elsevier 2022 and Artificial Intelligence in Tissue and Organ Regeneration, Elsevier 2023). He serves as Associate Editor of Heliyon (Engineering). Dr. Thomas received Fellow Awards such as FBAO -from Society for Biomaterials and Artificial Organs India, FAAS- from Alabama Academy of Sciences, and IAAM Scientist Medal from International Association of Advanced Materials, Sweden. Dr. Thomas is currently serving as the President of Alabama Academy of Science (AAS), Chairman of SBAOI- North American Chapter, and Secretary of Biomaterials Committee of The Minerals, Metals, and Materials Society (TMS).

• 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