Artificial Intelligence in Human Health and Diseases / edited by Muzafar A. Macha, Assif Assad, Muzafar Rasool Bhat.

Format:

Book

Author/Creator:

Macha, Muzafar A.

Contributor:

Assad, Assif.

Bhat, Muzafar Rasool.

Series:

Biomedical and Life Sciences Series

Language:

English

Subjects (All):

Diseases.

Artificial intelligence.

Medical sciences.

Artificial Intelligence.

Health Sciences.

Local Subjects:

Diseases.

Artificial Intelligence.

Health Sciences.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book discusses current concepts and future translational possibilities of Artificial Intelligence (AI) in human healthcare and diseases. The initial chapter reviews the application and integration of AI and multi-omics to develop novel diagnostic and therapeutic strategies. The book chapter also explores the recent advances in data-driven approaches that aided state-of-the-art AI for biomarker discovery and better disease diagnosis. The book also offers computational and oncological prospects for the role of AI in radio genomics, as well as its offers, achievements, opportunities, and limitations in the current clinical practices. The chapters further cover the role of the current state of AI in Cardiovascular Disease, Obesity and Diabetes, Neurological Diseases, and Infectious Diseases. Towards the end, the book highlights the use of AI in diverse pharmaceutical industry sectors, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. This book is handy for basic, translational, clinical & interdisciplinary researchers and bioinformaticians.

Contents:

1. The Magic of Artificial Intelligence-1

2. Magic of Artificial Intelligence-2

3. Deep Reinforcement Learning in Medical Science: Methods, Applications, and Future Directions

4. The problem of Generialization and Explainability in deep learning algorithms

5. Artificial Intelligence and Omics in Health and Diseases

6. Artificial Intelligence in Biomarker Discovery and Disease Diagnosis

7. Artificial Intelligence in Biomarker Discovery and Disease Diagnosis-2

8. Radiogenomics and Artificial Intelligence in Health and Diseases

9. Artificial Intelligence and the Use of Imaging Modalities in Biomedical Sciences

10. Artificial Intelligence in Cardiovascular Diseases

11. Artificial Intelligence in Obesity and Diabetes

12. AI-Powered Revolution in Infectious Disease Management: From Early Diagnostics to Drug Discovery

13. Artificial Intelligence in Oncology

14. Artificial Intelligence in Precision Oncology, Genomic Medicine and Disease Monitoring

15. Artificial Intelligence in Drug Discovery and Drug Target Interactions

16. Artificial Intelligence and Cancer Immunotherapy

17. Deep Learning Based Techniques for Detection of Cancer.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9681-76-6

OCLC:

1528628458