Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare.
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Anmol Budhewar serves as an Assistant Professor in Computer Engineering, with research interests spanning artificial intelligence, machine learning, blockchain-enabled systems, and secure computing architectures. In the previous academic year, he published one Scopus-indexed research article and one IEEE international conference paper, demonstrating his commitment to high-quality scholarly dissemination. He contributes extensively to the academic peer-review ecosystem, serving as a reviewer for multiple international journals and edited books, and earning several Certificates of Excellence for review quality. Notably, he reviewed four research articles for SN Computer Science (Springer Nature) on topics including blockchain security, medical image analysis, fraud detection, and authentication systems. His academic work emphasizes integrating intelligent computational models with real-world applications in healthcare, cybersecurity, and data-driven decision systems. Through research, reviewing, and teaching, he strengthens methodological rigor and interdisciplinary innovation in computer engineering.
Praveen Javali R is an accomplished Assistant Professor in the pharmaceutical sciences, currently based in Chitradurga, Karnataka, India. He built his foundational academic knowledge by earning a Bachelor of Pharmacy degree from SJM College of Pharmacy in 2019, followed by a Master of Pharmacy at the same institution in 2021. Demonstrating a strong commitment to higher education and continuous learning, Praveen is presently advancing his research capabilities as a Doctor of Philosophy (PhD) candidate. Since December 2021, he has been an integral faculty member at Sri Raghavendra College of Pharmacy, where his daily academic responsibilities involve designing comprehensive lesson plans, conducting lectures, and closely evaluating student performance. He brings Five years of practical teaching experience to his role, actively organizing workshops, seminars, and collaborative events with fellow faculty members, and has successfully guided 4-5 student projects. Praveen possesses expert-level skills in curriculum development, scientific writing, and project management. His academic excellence is reflected in a robust scholarly portfolio, having authored 15-20 publications and 15-20 book chapters, alongside 3-4 edited books, all of which are indexed in Scopus. Furthermore, he actively contributes to the rigorous standards of the scientific community by completing 20-30 peer reviewer roles for prominent Scopus-indexed journals. Known for his strong communication skills and adaptability, he consistently integrates cutting-edge teaching methods to mentor his pharmacy students effectively.
Aman Suresh Tharayil is an Assistant Professor in Pharmacy Practice, currently serving at the Faculty of Pharmacy, Dr. M.G.R. Educational and Research Institute, Chennai. With a Pharm.D and ongoing PhD in Pharmacy Practice from SIMATS, he brings academic depth and clinical insight to his teaching and research. His teaching repertoire includes subjects such as pharmacotherapeutics, biostatistics, and pharmacoepidemiology for undergraduate and doctoral pharmacy programs. Dr. Aman is an active contributor to scholarly literature with multiple publications in Scopus and Web of Science-indexed journals, including research on diabetes, nephrology, and pharmacovigilance. His work has earned recognition such as subject-wise ranks at RGUHS and a prestigious ASCPT LMIC Travel Grant. Beyond academia, Dr. Aman has reviewed over 200 manuscripts and serves on editorial boards of reputed journals like Acta Scientific Pharmaceutical Sciences, PLOS ONE, and Cureus. He is also a frequent workshop resource person and guest lecturer on clinical pharmacy and regulatory topics. With strong skills in academic mentorship, interdisciplinary collaboration, and public health education, he actively bridges classroom instruction with real-world clinical practice.
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Hardcover. Condition: new. Hardcover. Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798260005675
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Hardcover. Condition: new. Hardcover. Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798260005675
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Hardcover. Condition: new. Hardcover. Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798260005675
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Buch. Condition: Neu. Neuware - Vitiligo is a chronic, immune-mediated skin disorder that affects pigmentation and can have a profound impact on quality of life, despite not being life-threatening. Variability in disease progression and treatment outcomes continues to present challenges for both patients and healthcare providers, highlighting the need for more precise and personalized approaches to care. Artificial intelligence (AI) is increasingly transforming vitiligo management by enhancing disease assessment, supporting clinical decision-making, and improving the monitoring of disease progression over time. As these technologies continue to evolve, they are creating new opportunities for more accurate, data-driven approaches to diagnosis and treatment across diverse healthcare settings. The integration of computational innovation with clinical expertise is opening new pathways for advancing the future of vitiligo care. AI-Driven Advances in Vitiligo Management: Precision Medicine and Comprehensive Care Strategies examines how AI is reshaping the understanding, diagnosis, and management of vitiligo across the continuum of care. Integrating advances in dermatology, immunology, and computational science, the book highlights the growing role of AI in enabling more precise, data-driven, and accessible models of care while addressing the practical, ethical, and regulatory considerations associated with their implementation. Covering topics such as biomarkers, patient stratification, and targeted immunomodulation, this book serves as a valuable resource for graduate and doctoral students, dermatologists, vitiligo specialists, pigmentary disorder experts, immunologists, biomedical engineers, clinical informatics professionals, healthcare technology developers, policymakers, researchers, and other professionals interested in the future of precision dermatology and AI-enabled healthcare. Seller Inventory # 9798260005675