AI and Machine Learning Unpacked

AI evolves at extraordinary speed, but its foundation remains constant-the core methods explored in this book form the enduring framework upon which AI systems are built.

If you've ever wanted to understand how AI is truly implemented in life sciences and healthcare-without getting lost in formulas-this book is your guide. Written by Corina J. Shtir, PhD, a statistician and former Head & VP of Precision Medicine at Thermo Fisher Scientific, AI and Machine Learning Unpacked demystifies complex algorithms through a strategic and practical lens. It bridges the gap between data science and decision-making, equipping executives, clinicians, and policymakers to engage meaningfully with the technologies transforming their fields. AI is revolutionizing healthcare-but often in ways obscured by jargon, oversimplified headlines, or opaque technical detail. This book cuts through that noise. With precision and clarity, Dr. Shtir explains how data becomes action, how models must be interpreted responsibly, and what leadership must understand to evaluate AI solutions effectively.

Inside, you'll discover:

• Clear distinctions between AI, Machine Learning, Deep Learning, and AI Agents.
• Illustrative analogies that make even abstract machine learning concepts intuitive and relatable.
• Real-world examples and visual takeaways
• Key metrics and evaluation strategies that translate model performance into trustworthy decisions