This book presents a groundbreaking exploration of how artificial intelligence can revolutionize cancer therapy by reprogramming malignant cells into normal functional tissues. The book bridges molecular biology computational oncology and regenerative medicine explaining how AI algorithms can decode cellular signaling predict therapeutic responses and design personalized interventions. Through real-world case studies and cutting-edge research it highlights deep learning models that identify reprogramming factors capable of reversing oncogenic pathways. This work challenges traditional cancer treatment paradigms by emphasizing reprogramming rather than destruction offering a vision of precision oncology rooted in restoration and harmony. Written for researchers clinicians and bioinformatics professionals it provides a scientific yet accessible roadmap to the next generation of cancer therapeutics.
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