The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms...
Artificial Intelligence in Molecular Biology and Medicine
Transforming Bioinformatics, Genomics, Drug Discovery, Precision Medicine, and the Future of Healthcare
This book is 100% completeLast updated on 2026-06-25
When you buy this book, you will get access to the Companion Resource Library, which includes:
High-resolution versions of all figures featured in this volume.
Curated educational videos from leading universities, research organizations, and trusted science communicators that complement the topics covered in this book.
Additional companion resources and updates as they become available.
Minimum price
$19.00
$29.00
You pay
Author earns
PDF
About
About the Book
Artificial intelligence is transforming the life sciences. From decoding genomic data and predicting protein structures to advancing precision medicine and digital healthcare, AI is reshaping how researchers investigate biological systems, understand disease, discover new therapies, and improve patient care.
This book explores the convergence of artificial intelligence, machine learning, molecular biology, biomedical research, and healthcare. This volume provides the essential foundations required to understand one of the most significant scientific revolutions of the twenty-first century.
As advances in genomics, transcriptomics, proteomics, metabolomics, medical imaging, and electronic health records generate unprecedented amounts of biological data, traditional analytical approaches are no longer sufficient. Artificial intelligence enables researchers and healthcare professionals to extract meaningful insights from complex datasets, accelerating scientific discovery and clinical innovation.
Table of Contents
Dedication
About the Series
Other Books by the Author
Preface
About This Book
Additional Learning Resources and Related Resources
Who This Book Is For
How to Use This Book
Abbreviations and Terminology
PART I: FOUNDATIONS OF ARTIFICIAL INTELLIGENCE IN LIFE SCIENCES
Chapter 1: The Convergence of AI, Biology, and Medicine
Introduction
1.1 The Biological Data Revolution
1.2 Why AI Matters in Modern Biology
1.3 Historical Development of AI in Healthcare
1.4 Current Applications and Future Directions
1.5 Challenges and Opportunities
Chapter 1 References
Chapter 2: Biological Data and Digital Medicine
Introduction
2.1 Types of Biological Data
2.2 Genomic Data
2.3 Transcriptomic Data
2.4 Proteomic Data
2.5 Metabolomic Data
2.6 Clinical and Imaging Data
2.7 Electronic Health Records
Chapter 2 References
Chapter 3: Fundamentals of Machine Learning
Introduction
3.1 What Is Artificial Intelligence?
3.2 Fundamentals of Machine Learning
3.3 Supervised Learning 104
3.4 Unsupervised Learning
3.5 Reinforcement Learning
3.6 Model Evaluation and Performance Metrics
3.7 Overfitting, Underfitting, and Generalization
3.8 Opportunities and Limitations of Machine Learning
Chapter 3 References
Chapter 4: Deep Learning and Neural Networks
Introduction 129
4.1 Foundations of Deep Learning
4.2 Deep Neural Networks and Representation Learning
4.3 Major Deep Learning Architectures 139
4.4 Deep Learning Applications in Biology and Medicine
Chapter 4 References
PART II: AI IN MOLECULAR BIOLOGY
Chapter 5: AI for DNA Sequence Analysis
Introduction
5.1 DNA as Information
5.2 Pattern Recognition in Genomes
5.3 Sequence Classification
5.4 Variant Detection
5.5 Mutation Prediction
5.6 Functional Annotation
Chapter 5 References
Chapter 6: AI in Genomics
Introduction
6.1 Genome Assembly
6.2 Genome Annotation
6.3 Comparative Genomics
6.4 Population Genomics
6.5 Rare Disease Genomics
6.6 Cancer Genomics
Chapter 6 References
Chapter 7: AI in Transcriptomics
Introduction
7.1 RNA Sequencing
7.2 Gene Expression Analysis
7.3 Differential Expression
7.4 Single-Cell Transcriptomics
7.5 Spatial Transcriptomics
7.6 Transcriptome Prediction
Chapter 7 References
Chapter 8: AI in Proteomics
Introduction
8.1 Protein Structure Prediction
8.2 Protein Function Prediction
8.3 Protein Interaction Networks
8.4 Proteome Mapping
8.5 Clinical Proteomics
Chapter 8 References
About the Author
Companion Resource Library
Author
About the Author
Bolakale Aremu
Bolakale Aremu is a self publisher dedicated to transforming the landscape of Artificial Intelligence communication and content creation. With over 17 years of experience in computer hardware architecture and software development, he possesses a deep understanding of the transformative power of AI models.
As an author and also the CEO of AB Publisher LLC, Bolakale has pioneered innovative ways to utilize AI, helping businesses and individuals unlock its vast potential. His mission is to empower users by demystifying software engineering concepts and equipping them with the tools needed to leverage AI for productivity, creativity, and profitability. In addition to his work in AI, Bolakale is a dedicated educator who enjoys helping others discover the possibilities of AI technology. Through his writing, teaching, and leadership, he continues to inspire others to embrace the future of AI and its limitless potential.
For any inquiry, you can contact us any time. If you want to contribute your knowledge to this website, or if you have a request, just send us your message. We promise to do our best to help.
Bolakale Aremu (CEO), AB Publisher LLC.
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earned over $15 million writing, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.