Tissue Engineering and Regenerative Medicine : Advances and Applications

The text emphasizes the technological advancements in tissue engineering related to biomaterials and biomanufacturing techniques and discusses topics such as 3D bioprinting, process parameter optimization, CNN for stem cell imaging, diabetes risk prediction & Parkinson’s disease detection using machine learning, etc.

The book emphasizes the technological advancements in tissue engineering related to biomaterials and biomanufacturing techniques. It further discusses important topics such as 3D bioprinting, process parameter optimization, Convolutional Neural Network (CNN) for stem cell imaging, diabetes risk prediction and Parkinson’s disease detection using machine learning, telehealth systems, acute pancreatitis, and data-driven monitoring of chronic diseases. This book:Explores the role of artificial intelligence in designing biomaterials, optimizing fabrication processes, and predicting tissue formationFocuses on technological advancements in tissue engineering related to biomanufacturing techniques, and biomaterialsDiscusses the denture base acrylic resins, brain tumor detection, CNN for stem cell imaging and machine learning for diabetes risk prediction and Parkinson’s disease detection. Covers acute myocardial infarction, post-operative urinary retention, telehealth systems, graph convolutional network, and acute pancreatitis. Explains the role of serum magnesium levels in febrile convulsions and Apache-II Score and Ranson Criteria with Modified CT Severity Index. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of manufacturing engineering, biomedical engineering, materials science, biomaterials, mechanical engineering, and production engineering.