Dr. Sumbul is a dynamic academician and researcher at the forefront of integrative healthcare, seamlessly bridging traditional systems of medicine with modern technological intelligence. She received her Bachelor’s degree in B.U.M.S. (Bachelor of Unani Medicine and Surgery) from Ayurvedic and Unani Tibbia College, University of Delhi in 2019, followed by her Master’s degree in Obstetrics and Gynecology from NIUM, Rajiv Gandhi University of Health Sciences, Bangalore, in 2022. Since then, she has been serving as an Assistant Professor at Jamia Hamdard, New Delhi, contributing actively to teaching, research, clinical duties and academic leadership. With over 30 publications in national and international journals, 300 citations, and an h-index of 8, Dr. Sumbul has published her research with reputed international publishers including Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. Her scholarly work is driven by a strong vision to integrate healthcare and traditional systems of medicine with artificial intelligence, shaping the future of evidence-based, technology-enabled holistic care.Dr. Md Belal Bin Heyat is a distinguished researcher and academic whose work connects artificial intelligence, biomedical signal processing, and healthcare innovation. He completed his B.Tech in Electronics and Instrumentation (EI) and his M.Tech in Electronics Circuit and System (ECS) at Integral University, Lucknow, India, in 2014 and 2016, respectively. He later pursued his PhD in Electronic Science and Technology at the University of Electronic Science and Technology of China (UESTC), Chengdu, where he demonstrated remarkable academic and leadership excellence, winning nine prestigious awards and serving as a Research Associate, Vice-Chairman of the UESTC Country League, and Country Representative for India.After his PhD, Dr. Heyat worked as a Postdoctoral Fellow at the IoT Research Centre, College of Computer Science and Software Engineering, Shenzhen University, China, from 2021 to 2023. He is currently a Postdoctoral Fellow at the CenBRAIN Neurotech Center of Excellence, Westlake University, China. Alongside this, he serves as a visiting postdoctoral researcher at the Center for Visual Information Technology (CVEST), IIIT Hyderabad, India, and as a faculty member in the Department of Science and Engineering at the Novel Global Community Educational Foundation, NSW, Australia.Dr. Heyat’s interdisciplinary research focuses on applying AI to enhance disease detection and treatment, particularly in sleep disorders, neurological and psycho-neurological conditions, and cardiovascular health. He is also widely recognized for integrating Traditional Chinese Medicine concepts with modern AI-driven diagnostic systems for mental health care. With over 3500 citations and recognition as one of the Top2% Scientists in the World (Stanford University Ranking), his work continues to make a profound impact on global healthcare research.Beyond his scientific contributions, Dr. Heyat actively serves the academic community as a Guest Editor for renowned journals such as Life, Journal of Integrative Neuroscience, and Applied Sciences. He also reviews for major publishers, including Oxford University Press, IEEE, Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. With more than 100 publications in leading international journals and conferences and an h-index of 35, Dr. Heyat remains dedicated to advancing AI-powered healthcare and neuro-technology, striving to improve diagnostic precision and transform medical innovation worldwide.

• 1. Multidisciplinary Approach for Female Sexual Dysfunction: Bridging Unani and Contemporary Medicine along with AI Innovations2. AI-driven Modern Medicine: Current Advancements and Future Recommendations 3. Deep Learning for Clinical Research4. Integrating Artificial Intelligence into Holistic Nursing: Enhancing Compassionate and Personalized Care5. Human Metapneumovirus: Worldwide Research and Therapeutic Strategies6. Modern Approaches to Craniofacial Anomalies: The Role of AI and Integrative Therapies7. Utilizing Large Language Models for Early Disease Identification8. Molecular Docking and Network Pharmacology Insights of Sesamum indicum Linn in Pelvic Inflammatory Disease9. Artificial Intelligence-driven strategies in the Identification and Treatment of Ischemic Heart Disease10. Automated Grading of Diabetic Retinopathy Using Retina Insighter and Convolutional Neural Networks11. Integrative Perspectives on Lawsonia inermis L.: From Ethnomedicine and Pharmacology to Clinical Utility and AI-Driven Discoveries12. Role of Integrative Medicine in Disease Prevention in Women’s Health: Role for Artificial Intelligence and Machine Learning13. AI in Cancer Medicine: Nanotherapeutics and Integrative Approaches14. Role of Artificial Intelligence in enhancing the development, validation, and application of Unani Formulations for the management of COVID-1915. Integrating AI into Traditional Indian Medicine: Personalisation, Validation, and Global Scale16. Traditional Chinese Medicine with AI: Challenges and Future Prospects17. Recent Advancements of Integrative Medicine in the Current World: Current Issues and Future Recommendation18. Artificial Intelligence in Predictive Toxicology: A New Paradigm for Safety Profiling of Unani Drugs

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