Name: Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers (en Inglés)
Price: 385.99 USD
Availability: InStock
Author: Abhishek Kumar;N. Gayathri;S. Rakesh Kumar
ISBN: 9798369364437

portada Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers (en Inglés)

Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers (en Inglés)

Formato

Libro Físico

Editorial

IGI Global

Autor

Abhishek Kumar;N. Gayathri;S. Rakesh Kumar

Año

2024

Idioma

Inglés

N° páginas

538

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 cm

ISBN13

9798369364437

Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers (en Inglés)

Abhishek Kumar;N. Gayathri;S. Rakesh Kumar (Autor) · IGI Global · Tapa Blanda

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 771.97$ 385.99

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 385.99

Llega entre el 16 Jul y el 29 Jul a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers (en Inglés)"

The integration of generative AI and deep learning techniques for Alzheimer’s disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer’s disease management and patient outcomes. Deep Generative Models for Integrative Analysis of Alzheimer’s Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.