\u003cb\u003eDEEP LEARNING FOR TREATMENTS\u003c/B\u003e \u003cp\u003e\u003cb\u003eThe book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc.\u003c/b\u003e \u003cp\u003e\u003ci\u003eDeep Learning for Targeted Treatments\u003c/i\u003e describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient\u0026#8217;s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. \u003cp\u003e\u003cb\u003eAudience\u003c/b\u003e\u003cbr\u003e The book will be immensely interesting and useful to researchers and those working in the areas of clinical research, disease management, pharmaceuticals, R\u0026D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.
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