Harnessing AI and Machine Learning for Precision Wellness

Advancements in artificial intelligence and machine learning are reshaping healthcare by enabling highly personalized wellness strategies tailored to individual needs. By analyzing vast datasets, including genetic, biometric, and lifestyle information, these technologies can predict disease risks, optimize treatment plans, and recommend proactive health interventions. Precision wellness moves beyond traditional healthcare models, offering dynamic, adaptive solutions that evolve with new scientific discoveries. This shift has the potential to reduce healthcare costs, alleviate the burden on medical systems, and improve overall health outcomes. However, ethical considerations, data privacy, and equitable access remain crucial challenges in realizing the full benefits of AI-driven healthcare. Harnessing AI and Machine Learning for Precision Wellness demystifies the complex world of AI and machine learning in healthcare, exploring how these technologies are being applied across various aspects of wellness. It delves into the mathematical foundations that underpin these technologies, examines real-world case studies, and discusses the ethical considerations that must guide their implementation. This book covers topics such as mathematics, mental health, and preventive care, and is a useful resource for medical and healthcare professionals, computer engineers, data scientists, psychologists, academicians, and researchers.

Joyeta Ghosh is a Health Care AI Data Scientist and Public Health Nutritionist with an impressive research background. She has over 12 years of experience in the field and has leveraged her expertise in machine learning and data analytics to enhance astronaut health at NASA, USA in collaboration with CROWDPLAT. Her work on the 'In-Flight Food Systems' project has resulted in increased health and well-being for astronauts. She holds a Ph.D. in Biochemistry from the University of Calcutta, where she was a DST INSPIRE Fellow and qualified for the UGC NET. She also has a Master's degree in Data Science and another in Applied Nutrition, where she was a Gold Medalist. Dr. Ghosh has held academic positions as an Assistant Professor (Grade-II) at Amity University Kolkata, where she taught courses in human nutrition, food science, and research methodology. She has also served as a Research Fellow at the University of Calcutta's Department of Biochemistry as DST INSPIRE fellow. Dr. Ghosh is proficient in various data analysis tools, including Tableau, Python, SPSS, and more, and has applied her skills in sectors such as healthcare, technology, education, and the environment. She has a strong command of both Bengali and English languages.

Frederic Andres , Dr. Habilitation, is an accomplished researcher and professor in the field of computer science and informatics. He currently holds several distinguished positions, including Associate Professor at the National Institute of Informatics and The Graduate University for Advanced Studies in Tokyo, Japan. Dr. Andres has an extensive educational background, having obtained his Dr. Habilitation from the Université de Nantes in 2000, and a Ph.D. from the University of Paris VI, also known as Pierre and Marie Curie University, in 1993. His doctoral research focused on developing a multi-environment cost evaluator for parallel database management systems. With a career spanning over three decades, Dr. Andres has held various visiting researcher and scientist positions at prestigious institutions worldwide, including the Institut Supérieur d'Informatique de Modélisation et de leurs Applications in France, the Centro de Tecnologia da Informação Renato Archer in Brazil, and Kasetsart University in Thailand, among others. Dr. Andres' research interests are diverse, encompassing areas such as semantic computing, collective intelligence, AI ethics, brain-computer interfaces, and digital content and media sciences. He has actively contributed to several international standards organizations, including ISO/IEC JTC1/SC 43 on Brain-Computer Interfaces, and ISO/IEC JTC 1/SC 42 on Artificial Intelligence, serving as an editor and co-editor for various standards. In addition to his academic and research pursuits, Dr. Andres has been involved in numerous professional activities, including serving as a board member of the IEEE Semantic Computing Committee and participating in various committees and working groups related to his areas of expertise. Dr. Andres' contributions to the field have been recognized through various awards and grants, such as the IEEE COMPSAC2018/IEEE Brain Data Bank Hackathon First Prize, the JSPS Grant-in-Aid for Scientific Research, and the Nissan Scientific Foundation Grant, among others. With over 360 publications, an impressive research interest score of 1379, and over 124,982 reads and 1231 citations, Dr. Frederic Andres has established himself as a prominent figure in the field of computer science and informatics, making significant contributions to both academic research and industry applications.

Hesham H. Ali is a Professor of Computer Science and the director of the University of Nebraska Omaha (UNO) Bioinformatics Core Facility. He served as the Lee and Wilma Seemann Distinguished Dean of the College of Information Science and Technology at UNO between 2006 and 2021. He has published numerous articles in various IT areas including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has also published two books in scheduling and graph algorithms, and several book chapters in Bioinformatics. He has been serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative in the areas of data analytics, wireless networks and Bioinformatics. He has also been leading a Research Group that focuses on developing innovative computational approaches to model complex biomedical systems and analyze big bioinformatics data. The research group is currently developing several next generation big data analytics tools for analyzing large heterogeneous biological and health data associated with various biomedical research areas, particularly projects associated with infectious diseases, microbiome studies, early childhood development and aging research. He has also been leading two projects for developing secure and energy-aware wireless infrastructure to address tracking and monitoring problems in medical environments, particularly to study mobility profiling for advancing personalized healthcare. He has led several local and national outreach initiatives including Women in IT initiatives, IT education and training programs, and IT summer internship camps.

Andreas Pester graduated in mathematics from Odessa State University in 1976, he got his PhD from Kiev State University in 1979 and he habilitated at the University of Technology Dresden in 1984. 2020 he retired from the University of Applied Sciences in Carinthia in Austria. Currently he is a professor for natural language processing and deep learning at the British University in Egypt in Sherouk. He is the author and co-author of more than 75 publications. He was a guest professor at the UPC Barcelona, Technical University Porto, Technical Universities of Kharkov, Technical University Kiev, Polytechnic University St. Petersburg, State University of Petrozavodsk, BTH Karlskrona, University Maribor, UNESP Bauru (Brazil), AUA Erivan and others. He was and is involved in more than 20 EU- and national projects (as project leader or as collaborator), including Erasmus +, TEMPUS, MINERVA etc. His research interests are in deep learning, especially Graph Neural Network architectures and Large Language Models. Actually, he is the co-chair of the IEEE Global Engineering Conference (EDUCON’26), and he chaired also EDUCON’21, Interactive Collaborative and Blended Learning (ICBL) conferences from 2008 – 2019, and is member of the PC of several other conferences etc. He holds the IEEE Education Society Distinguished Chapter Leader Award 2023. He also holds the EDUCON Meritorious Service Award for outstanding contributions to the administrative and management efforts for the IEEE EDUCON conference.

Shihori Tanabe , Ph.D. is a senior researcher at Division of Risk Assessment in National Institute of Health Sciences. She completed her doctorate in pharmaceutical science with the field in molecular biology and pharmacology at the University of Tokyo. She also performed the research mainly focused on biochemistry and cellular biology in Department of Pharmacology, College of Medicine, University of Illinois at Chicago. A part of her research is focused on gene expression profiling, cellular signaling network analysis and protein regulation mechanism to find essential factors demonstrating cellular phenotypes in cancer and stem cells using bioinformatics approach including microarray and database analysis. She has also conducted research such as cellular signaling, cardiac cell research and protein regulation mechanism, and made contribution in the field of molecular biology, pharmacology and biochemistry. She performs research in molecular pathway network mechanism in epithelial-mesenchymal transition and cancer stem cells. She is interested in finding essential factors to distinguish cancer cell types for revealing mechanism of cancer development and safe application of the cells as cellular therapeutics in regenerative medicine, as well as in assessing the long-term influences of the alteration in gene expression and cellular phenotype from the point of view of regulatory science. She has been a delegate for the Japanese Society for Regenerative Medicine, a councilor for Society for Regulatory Science of Medical Products, an editorial board member for several journals including Journal of Toxicological Sciences, Fundamental Toxicological Sciences, World Journal of Stem Cells, Journal of Medical Genomics and Biomarkers, and Artificial Intelligence in Cancer, an Editor-in-Chief for Journal of Clinical and Medical Research, Advances in Clinical and Medical Research, and Journal of Clinical Epigenetics, a Book Editor for “Cancer Stem Cell Markers and Related Network Pathways” in Springer Nature, an Executive Editor for Research Journal of Oncology, an Editor for Special Issue of Cancers, a Topic Editor for Frontiers in Oncology, a Guest Associate Editor for Frontiers in Cell and Developmental Biology, and an Associate Editor for Molecular and Cellular Oncology (specialty section of Frontiers in Oncology and Frontiers in Cell and Developmental Biology).