Cantitate/Preț
Produs

Artificial Intelligence in Dermatological Disorders: Diagnosis to Personalized Treatment Approaches

Autor Ayush Madan, Sumel Ashique, Chowdhury Mobaswar Hossain, Shubhrajit Mantry
en Limba Engleză Hardback – 8 dec 2026
This book explores the transformative role of artificial intelligence (AI), machine learning, and deep learning in dermatology. It examines the integration of AI-driven technologies in the diagnosis, classification, and management of a wide range of dermatological conditions, including psoriasis, vitiligo, wound healing, skin infections, and skin cancer. The book also highlights advances in predictive modeling, AI-assisted image analysis, teledermatology, and psychodermatology while addressing the ethical, legal, and regulatory aspects. It is a comprehensive resource for researchers, clinicians, and students seeking insights into AI-powered dermatological practice, innovation, and personalized patient care.
Citește tot Restrânge

Preț: 140485 lei

Preț vechi: 167054 lei
-16% Precomandă

Puncte Express: 2107

Carte nepublicată încă

Livrare prin curier în România Precomanda se expediază când titlul devine disponibil.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Doresc să fiu notificat când acest titlu va fi disponibil:

Specificații

ISBN-13: 9789815352535
ISBN-10: 9815352539
Pagini: 508
Ilustrații: 28
Dimensiuni: 152 x 229 mm
Ediția:1
Editura: Jenny Stanford Publishing
Colecția Jenny Stanford Publishing

Public țintă

Academic and Postgraduate

Notă biografică

Ayush Madan is an assistant professor at the Department of Biotechnology, School of Research and Technology, People’s University, Bhopal, India. His research interests encompass nanobiotechnology, the biomedical applications of nanoparticles, and AI-driven innovations in biosciences. He has authored numerous research and review articles in national and international journals and has edited several scholarly books published by reputed international publishers.  His collaborative and interdisciplinary research approach integrates biotechnology, data science, and medical technology to develop innovative solutions for contemporary healthcare challenges.
Sumel Ashique is a research scholar at Lovely Professional University, Punjab, India, and serves as an Assistant Professor at Bharat Technology, West Bengal, India. With over four years of teaching experience, his research interests span drug delivery systems, nanotechnology, and targeted therapeutics. He has authored more than 80 scientific publications, contributed over 20 book chapters, secured five patents, and serves as editor for more than 20 international books in his areas of expertise.
Chowdhury Mobaswar Hossain, MPharm (gold medalist), PhD (Jadavpur University), and postdoctoral fellow (University of Florida, USA), is a professor, founding head of the Department of Pharmaceutical Technology, and coordinator of the Centre for Health Care Technology at MAKAUT, West Bengal, India. He is a recipient of the prestigious DST-INSPIRE fellowship and the Best Teacher Award (2017). His scholarly contributions include several patents, and his research focuses on drug discovery and therapeutic development for cancer, diabetes, and infectious diseases.
Shubhrajit Mantry is a professor and dean at the Department of Pharmacy, Sarala Birla University, Ranchi, Jharkhand, India. He completed his undergraduate and postgraduate studies at Utkal University, Odisha, and earned his PhD from Bhagwant University, Rajasthan. He has authored 12 national and 2 international books and has published more than 70 research articles in reputed national and international journals indexed in UGC-CARE, Web of Science, SCI, and Scopus. He has published and been granted 32 patents across several countries, including India, Australia, South Africa, the Philippines, Germany, and the United Kingdom. Throughout his academic career, Dr Mantry has supervised 25 postgraduate and 40 undergraduate students. His research interests include novel drug delivery systems, nanotechnology, and advanced pharmaceutical technologies. He is a life member of the Association of Pharmaceutical Teachers of India (APTI) and the Indian Pharmaceutical Association (IPA). He has organized several national and international conferences and has conducted more than 20 webinars for the pharmacy profession, contributing significantly to academic and professional development in the field.

Cuprins

Preface 1. Artificial Intelligence, Machine Learning, and Deep Learning in Dermatological Disorders: An Overview 2. Automated Detection of Dermatological Disorders: AI-Assisted Image Processing and Machine Learning 3. Artificial Intelligence in Dermatopathology: Revolutionizing Histological Analysis 4. AI-Driven Genomic and Proteomic Insights in Dermatological Disorders 5. Artificial Intelligence in Inflammatory Skin Disorders 6. Artificial Intelligence in Psoriasis: From Diagnosis to Personalized Treatment 7. Artificial Intelligence in Skin Cancer: From Diagnosis to Personalized Treatment 8. Artificial Intelligence in Vitiligo: From Diagnosis to Personalized Treatment 9. Artificial Intelligence in Skin Infections: From Diagnosis to Personalized Treatment 10. Artificial Intelligence in Wound Healing: From Diagnosis to Personalized Treatment 11. Artificial Intelligence in Pediatric Dermatology: Addressing Unique Challenges 12. Artificial Intelligence and Telehealth in Psychodermatology: From Diagnosis to Personalized Treatment 13. AI-Driven Personalized Dermatological Therapies: Bridging Clinical Data with Predictive Analytics 14. AI-Enabled Predictive Models for  Dermatological Disease Progression 15. Future Directions of Artificial Intelligence in Dermatology: Emerging Technologies and Innovations 16. Integrating Artificial Intelligence into Dermatological Education and Clinical Training

Descriere

This book explores the transformative role of artificial intelligence (AI), machine learning, and deep learning in dermatology. It examines the integration of AI-driven technologies in the diagnosis, classification, and management of a wide range of dermatological conditions, including psoriasis, vitiligo, wound healing, and skin cancer.