Manish Mathur – författare
833 kr
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Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.
Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare.
With this book, you will:
Understand the promise and challenges of LLMs in healthcareLearn the inner workings of LLMs and generative AIExplore automation of healthcare use cases for improved operations and patient care using LLMsDive into patient experiences and clinical decision-making using generative AIReview future applications in pharmaceutical R&D, public health, and genomicsUnderstand ethical considerations and responsible development of LLMs in healthcare"The authors illustrate generative''s impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry."--Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault
Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley''s extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare.
Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.
833 kr
Läs direkt efter köp
Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.
Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare.
With this book, you will:
Understand the promise and challenges of LLMs in healthcareLearn the inner workings of LLMs and generative AIExplore automation of healthcare use cases for improved operations and patient care using LLMsDive into patient experiences and clinical decision-making using generative AIReview future applications in pharmaceutical R&D, public health, and genomicsUnderstand ethical considerations and responsible development of LLMs in healthcare"The authors illustrate generative''s impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry."--Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault
Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley''s extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare.
Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.
420 kr
Skickas inom 5-8 vardagar
4 450 kr
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Tools For Detecting Spatial Pattern ¨ Spatial Autocorrelation ¨ Methods of Edge Correction ¨ Factors Affecting Spatial Distribution ¨ Consequences of Spatial Patterns ¨ Question Need to Be Solved ¨ Glossary
6 498 kr
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Fundamentals of Environmental Impact Assessment: Meaning, History and Objectives ¨ Attributes of EIA Process ¨ ELA Methodologies ¨ Environmental Impact Assessment for Air Environment ¨ ELA for Water Resources ¨ Environmental Impact Assessment of Soil Qualities ¨ Environmental Impact Assessment of Noise ¨ Environmental Impact Assessment of Biological Components ¨ Traditional Knowledge and Impact Assessment ¨ Impact Assessment ofSocio-Economic Environment ¨ EIA Implementation and Follow-Up