Traditionally, travel medicine focuses on pre-trip consultations, vaccinations, and managing existing health conditions during travel. However, the healthcare landscape is undergoing a significant transformation with the rapid integration of digital health technologies. Telemedicine, for example, allows for real-time consultations with healthcare providers over video calls, saving time and providing much-needed access to medical expertise in remote locations. Additionally, AI-powered applications can analyze travel itineraries and provide personalized health recommendations based on destination-specific risks. This convergence between travel medicine and digital health presents exciting possibilities and new challenges.

Navigating Innovations and Challenges in Travel Medicine and Digital Health explores critical issues at the crossroads of travel medicine and digital health. It emphasizes the importance of collaboration and cross-sector partnerships to ensure successful integration and address the digital divide. Covering topics such as medical tourism, chronic illnesses, and wearable technologies, this book is an excellent resource for healthcare practitioners, travel experts, technology developers, professionals, researchers, scholars, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Antimicrobial Activity Predictors
Artificial Intelligence (AI)
Chronic Illnesses
Cybersecurity
Decision Making System
Disease Detection
Disease Prediction
Healthcare
Heat-Related Illnesses
High Altitudes
Machine Learning (ML)
Medical Tourism
Mobile Health Applications
Pain Management
Patient Monitoring
Telemedicine
Travel Health
Wearable Technologies
Women Care

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Editor/Author Biographies

Saurabh Agarwal is presently designated as a Research Professor in the Department of Computer Engineering at Yeungnam University, South Korea. He has a distinguished academic background with a Ph.D. in Computer Engineering from the University of Delhi, where his thesis focused on the design and analysis of image forensic techniques. Dr. Agarwal has accumulated extensive research and teaching experience, previously serving as a Postdoctoral Researcher at Andong National University and Kyungil University in South Korea. During his postdoctoral tenure, he led pioneering studies in image forgery detection utilizing advanced machine learning and deep learning techniques. Dr. Agarwal has held significant academic positions, including Associate Professor roles at Amity University and SRMSCET, Bareilly, India, where he instructed various computer science subjects, mentored students, and contributed to accreditation tasks. His academic contributions have been recognized with several prestigious awards, such as the Korean Research Fellowship and a Ph.D. fellowship from NSIT, Delhi. Notably, Infosys Technologies Limited highlighted his excellence in the Campus Connect Program. Dr. Agarwal's research interests encompass computer vision, image forensics, quantum computing, machine learning, and deep learning. He has published extensively, with numerous articles in high-impact international journals and conference proceedings. His recent publications include works on digital image steganalysis, forensic analysis, and image operator forensics, among others. In addition to his research, Dr Agarwal has actively participated in various training programs and workshops, including cloud computing, machine learning, and big data analytics. He has also contributed to the academic community as a reviewer for several prestigious journals and conferences. Dr Agarwal's academic qualifications include an M. Tech in Software Engineering from APJ AKTU, Lucknow, and a B.E. in Computer Science & Engineering from Barkatullah University, Bhopal. His extensive teaching experience spans over a decade, during which he has taught a wide range of subjects, mentored numerous students, and engaged in various administrative and examination duties. Dr. Agarwal has been instrumental in advancing the field of computer science through his innovative research and dedication to teaching. His work has significantly contributed to the understanding and development of image forensic techniques and machine-learning applications in digital forensics.

|Lakshmi D - Contributing Author|Dr. Lakshmi D is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) & Assistant Director, at the Centre for Innovation in Teaching & Learning (CITL) at VIT Bhopal. She has 17 international conference presentations, and 21 international journal papers inclusive of SCOPUS & SCI (cumulative impact factor 31). 3 SCOPUS indexed book chapters. A total of 24 patents are in various states and 18 patents have been granted at both national and international levels. One Edited book with Taylor & Francis (SCOPUS Indexed). She has won two Best Paper awards at international conferences, one at the IEEE conference and another one at EAMMIS 2021. She received two awards in the year 2022. She received two awards in the year 2022. She has addressed innumerable guest lectures, acted as a session chair, and was invited as a keynote speaker at several international conferences. She has conducted FDPs that cover approximately ~80,000 plus faculty members including JNTU, TEQIP, SERB, SWAYAM, DST, AICTE, MHRD, ATAL, ISTE, Madhya Pradesh Government-sponsored, and self-financed workshops across India on various titles.

Lalit Singh is the Dean of Pharmacy at the Future Group of Institutions in Bareilly, Uttar Pradesh. He has held this position since March 2022, after a distinguished tenure as Dean at Invertis University from July 2021 to February 2022. Dr Singh has amassed over 20 years of teaching experience, with previous roles including Professor and Director at SRMS College of Engineering and Technology (Pharmacy), Bareilly, from July 2016 to June 2021. Dr. Singh completed his Ph.D. in Pharmaceutical Sciences from Maharshi Dayanand University, Rohtak, in 2015, and his M.Pharm from Luqman College of Pharmacy, RGUHS Karnataka, in 2004. His research focuses on various dosage form developments and optimization through techniques like Quality by Design (QbD) and Factorial Design, contributing significantly to gastroretention and drug delivery systems. He has guided over 26 PG students and 6 PhD candidates, serving as a reviewer for respected journals like “Reviews in Chemical Engineering” and “Indian Journal of Biotechnology.” Dr Singh has also made notable contributions as a member of the Pharmacy Council of India Expert Panel since 2018 and has been recognized with patents for innovations like the “Whiff-Haler” and synthesizing nanoparticles for medical applications. Dr. Singh has been an active participant and speaker in numerous national and international conferences, emphasizing his pharmaceutical sciences and education expertise. He has also been instrumental in organizing seminars and workshops, such as the national seminar “Vision 2020: Needs & Prospect of Pharmaceutical Research in India.” Throughout his illustrious career, Dr Singh has been honored with multiple awards, including the Gold Medal in 2004 for Pharmaceutics from Rajiv Gandhi University of Health Sciences. He continues to contribute to the field with publications in high-impact journals and involvement in significant research projects in the pharmaceutical sector.

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