Generative AI and Stochastic Thermodynamics A Tale of Free Energies | 9.72 MB
Title: Generative AI and Stochastic Thermodynamics A Tale of Free Energies
Author: Mohammed Gouse Galety, Subrata Chowdhury, Arul Kumar Natarajan, Brahim ElBhiri
Category: Nonfiction, Science & Nature, Science, Biological Sciences, Environmental Science, Business & Finance, Industries & Professions, Industries, Management & Leadership, Management
Language: English | 313 Pages | ISBN: 9783032236265
Description:
Generative AI Revolution: Transforming Healthcare and Life Sciences towards Sustainable Development in Industry 6.0 examines how generative artificial intelligence is redefining modern healthcare systems. As the world moves toward Industry 6.0-an era of human-centric, intelligent, and sustainable innovation-this book explores how AI enhances patient care, medical diagnostics, drug discovery, and population health management. Organized into three thematic sections, the volume covers AI-driven patient engagement, mental health analytics, disease prediction models, deep learning-based imaging diagnostics, and AI-enabled drug development pipelines. It also addresses healthcare supply chains, epidemiological modeling, and data-driven decision support systems that strengthen resilience and efficiency in healthcare ecosystems. Emphasizing ethical and responsible AI adoption aligned with global sustainability goals, this book is an essential resource for researchers, healthcare professionals, policymakers, and industry leaders seeking to harness generative AI to build smarter, more sustainable healthcare solutions.
Generative AI Revolution: Transforming Healthcare and Life Sciences towards Sustainable Development in Industry 6.0 examines how generative artificial intelligence is redefining modern healthcare systems. As the world moves toward Industry 6.0-an era of human-centric, intelligent, and sustainable innovation-this book explores how AI enhances patient care, medical diagnostics, drug discovery, and population health management. Organized into three thematic sections, the volume covers AI-driven patient engagement, mental health analytics, disease prediction models, deep learning-based imaging diagnostics, and AI-enabled drug development pipelines. It also addresses healthcare supply chains, epidemiological modeling, and data-driven decision support systems that strengthen resilience and efficiency in healthcare ecosystems. Emphasizing ethical and responsible AI adoption aligned with global sustainability goals, this book is an essential resource for researchers, healthcare professionals, policymakers, and industry leaders seeking to harness generative AI to build smarter, more sustainable healthcare solutions.
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