HealthTech Horizons Charting the Future of Smart Healthcare Innovations, Deepfake and Metaverse

1. Introduction: Fundamentals of HealthTech Horizons with Smart Healthcare Innovations, Deepfake, and the Metaverse
Songita Sett, Soumita Seth, Saurav Mallik and Roger Atanga

2. Health Digital Twins: A New Era in Healthcare
V Lakshmi Chetana, Amogh Katti, Saurav Mallik and Ruifeng Hu

3. Exploring Deepfake Technology in Healthcare: Innovations, Applications, and Challenges
Amena Mahmoud, Yonis Gulzar and Sapna Juneja

4. Regulatory Frameworks and Ethics in Smart Healthcare Innovations: Deepfakes and the Metaverse
Ben Othman Soufiene S., R.P. Narmadha, Dharani Jaganathan, Ram Kaji Budhathoki and Soumita Seth

5. Emergency Response Training in Metaverse Scenarios
Sayantan Kundu, Sushil Kr. Dinda and Anjan Bandyopadhyay

6. Orchestrating Healing Harmonies: The Sublime Confluence of Artificial Intelligence and Healthcare
Sure Divya Sree, Saradha M., V. Muthukumaran, Sandeep Kumar Mathivanan and Saurav Mallik

7. Hybrid Optimization Techniques for Gene Expression Analysis: The EHOSVM Paradigm
Abrar Yaqoob, Mohd Abas Bhat, Rabia Musheer Aziz, Navneet Kumar Verma, R. Vijaya Lakshmi, Tejaswini Pradhan and G.V.V. Jagannadha Rao

8. Decoding Breast Cancer: Unleashing RNA-Seq Insights with Advanced Deep Learning and Modified WOA
Preetam Suman, Pradeep Kumar Mishra, Saboor Uddin Ahmed, Rajul Mahto, Aryan Das, Mohd Inshal Naved, Rabia Musheer Aziz and Edeh Michael Onyema

9. A Smart Healthcare Innovation for Detecting Colorectal Cancer through the Integration of ADAM Optimizer and CATEGORICAL CROSSENTROPY Loss Function-Based CNN Method
Joyita Ghosh, Soumita Seth, Aimin Li and Saurav Mallik

10. Improved Prediction of Heart Disease through GAN-Enhanced Artificial Data and Machine Learning Models with Optimized Hyperparameters
Krishnaraj N., Chandru Vignesh C., Alfred Daniel J.and Roger Atanga

11. GWF Algorithm for Image Forgery Detection
Arun Anoop M., Karthikeyan P. and Ben Othman Soufiene S.

Index

Biography

Dr. Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in Harvard T.H. Chan School of Public Health, University of Texas Health Science Center at Houston, and University of Miami Miller School of Medicine, USA. He obtained his Ph.D. degree in the Department of Computer Science and Engineering from Jadavpur University, Kolkata, India in 2017 while his Ph.D. work was carried carried out in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India while he was Junior Research Fellow and Visiting Scientist. He obtained the award of Research Associateship from CSIR (Council of Scientific and Industrial Research), MHRD, Govt. of India in 2017. Dr. Mallik has more than 130 research papers in different top high impact factor peer-reviewed International Journals, Conferences and Book Chapters having an H-index of 19. He is working as the active member of Institute of Electrical and Electronics Engineers (IEEE), USA, ACM and American Association for Cancer Research (AACR), USA and Bioclues, India. His research interest includes computational biology, knowledge retrieval and data mining, bioinformatics, biostatistics and machine learning/deep learning.

Dr. Soumita Seth is currently serving as an Assistant Professor in the Department of Computer Science and Engineering of Future Institute of Engineering and Management, Kolkata, India, Affiliated to MAKAUT, Kolkata. Previously, she worked as Assistant Professor in the Department of Computer Science and Engineering of Brainware University, Kolkata (Mar–Aug 2023) and in the Department of Computer Science and Engineering of Pailan College of Management and Technology, Kolkata, India, Affiliated to MAKAUT, Kolkata (Feb 2022– Mar 2023). She is recently submitted her Ph.D. thesis in the Department of Computer Science & Engineering (CSE) from a state-government university, Aliah University (AU), Kolkata, India. Previously, she completed M.Tech. and B.Tech. degrees in the departments of CSE and IT, respectively. She is collaborating on her Ph.D. research with The University of Texas Health Science Center at Houston (UTHealth), USA. She has academic experience of almost 6 years, research experience of 2 years, and industrial experience of 2 years. Dr. Seth has more than 10 research publications in different top high impact factor peer-reviewed international journals, conferences, book chapters and books. Her research interests include computational biology, data mining, bioinformatics, pattern recognition, biological regulatory networks, statistical application on bioinformatics, machine learning/deep learning.

Dr. Ben Othman Soufiene is currently serving as an Assistant Professor in PRINCE Laboratory Research,  ISITcom, Hammam Sousse, University of Sousse, Tunisia. Previously, he served as an Assistant Professor of computer science at the University of Gabes, Tunisia from 2016 to 2023. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on “Secure data aggregation in wireless sensor networks”. He also holds an M.Sc. degree from the Monastir University, 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning and big data. Dr. Ben Othman has published more than 70 publications in reputed international journals, conferences, and book chapters. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen international conferences.