Dr Soban Sadiq, Senior Lecturer and Vertical Theme Lead for Pharmacology and Therapeutics at Kent and Medway Medical School (KMMS) has contributed to three chapters in a new book titled Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases.
Edited by a team of five, including KMMS Associate, Dr Gary Tse, the book features a collection of expert contributions within the study of Type I and Type II Diabetes, across fields covering biomedical, data mining, and deep learning.
A variety of machine learning methods are applied throughout the book, including data mining and Internet of Things (IoT) techniques used to identify different types of diabetes. Furthermore, the modern use of advanced algorithms and AI models in clinical settings is highlighted, particularly in relation to diabetes and health informatics.
Dr Sadiq said: “This book is crucial for professionals and researchers in biomedical sciences, diabetes management, bioengineering, health informatics and for PhD students in life sciences and computer science.”
Second-year student, Adan Khan, was also given the opportunity to contribute to a chapter in the book and expressed his gratitude at having the opportunity to work with such an amazing team.
Dr Sadiq added: “We are both thankful to Dr Gary Tse for providing the opportunity to contribute to this book.”
The book will be available soon at the libraries of both the University of Kent and Canterbury Christ Church University (CCCU).