{"product_id":"ai-for-precision-medicine-with-python-from-multi-modal-patient-data-to-personalized-treatment-models-create-a-description-for-amazon-9798242359512","title":"AI for Precision Medicine with Python: From Multi-Modal Patient Data to Personalized Treatment Models create a description for amazon","description":"\u003cp\u003e • Author(s): Alice Schwartz | Livia Arden\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAI for Precision Medicine with Python\u003c\/b\u003e bridges the gap between raw patient data and truly personalized care. This book shows how modern AI techniques can be applied to real-world clinical and biomedical data to move beyond one-size-fits-all medicine and toward individualized diagnosis, risk prediction, and treatment planning.\u003c\/p\u003e\u003cp\u003eDesigned for data scientists, biomedical researchers, clinicians, and advanced practitioners, the book walks through how to build end-to-end precision medicine pipelines using Python. You'll learn how to integrate multi-modal patient data including genomics, medical imaging, electronic health records, lab results, and wearable data, and transform them into actionable, patient-specific models.\u003c\/p\u003e\u003cp\u003eRather than focusing on theory alone, this book emphasizes practical implementation. You'll work with real architectures and workflows for feature engineering across heterogeneous data sources, training machine learning and deep learning models, handling missing and biased clinical data, and validating models in healthcare-constrained environments. Topics include multi-modal fusion strategies, survival analysis, disease subtyping, treatment response prediction, and explainable AI techniques critical for clinical trust and regulatory compliance.\u003c\/p\u003e\u003cp\u003eThroughout the book, ethical considerations, data privacy, and deployment challenges are treated as first-class problems, not afterthoughts. You'll learn how to design models that are interpretable, auditable, and aligned with real clinical decision-making.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAI for Precision Medicine with Python\u003c\/b\u003e is not a high-level overview. It is a hands-on guide to building personalized medicine systems that reflect how healthcare data actually behaves in practice.\u003c\/p\u003e\u003cp\u003eIf you want to move from generic medical AI models to truly patient-centered intelligence, this book provides the tools, frameworks, and mindset to do it right.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47595300946071,"sku":"9798242359512","price":3533.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798242359512.webp?v=1774989230","url":"https:\/\/atlanticbooks.com\/products\/ai-for-precision-medicine-with-python-from-multi-modal-patient-data-to-personalized-treatment-models-create-a-description-for-amazon-9798242359512","provider":"Atlantic Books","version":"1.0","type":"link"}