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[Call for Book Chapter]Artificial Intelligence (AI) for Precision Medicine in Treating Rare Disorders:

A Roadmap for Healthcare Practitioners in treating rare disorders is a groundbreaking exploration of the convergence of artificial intelligence (AI) and precision medicine, revolutionizing the future of healthcare. This comprehensive book offers a unique perspective on how cutting-edge AI technologies are reshaping the field of medicine, enabling personalized and targeted treatment approaches with unprecedented accuracy and efficiency.

Drawing upon the latest advancements in AI and its applications in healthcare, this book delves into the realm of deep precision medicine. It explores the synergy between AI algorithms, big data analytics, and genomic profiling, unraveling the potential for precise diagnosis, prognosis, and treatment selection across various diseases.

Through real-world case studies and expert insights, readers will gain a deep understanding of the role of AI in deciphering complex molecular data, identifying novel therapeutic targets, and predicting patient responses to various treatments. The book explores how AI-driven models can optimize drug discovery, streamline clinical trials and improve patient outcomes by enabling tailored interventions based on individual genetic profiles, biomarkers, and clinical data in treating rare diseases.

Covering a broad spectrum of topics, including machine learning, deep learning, NLP, and medical imaging analysis, this book provides a comprehensive roadmap for healthcare professionals, researchers, and students to navigate the integration of AI and precision medicine. It also delves into the ethical and regulatory considerations surrounding AI in healthcare, ensuring responsible and equitable implementation of these transformative technologies.

Submission Procedure:

The researcher can submit the book chapter directly through an e-mail address (aslam.shahzad@xmu.edu.my). The book will be published in CRC affiliated publishing house. There is no publication charges.