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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Acceleration: How Artificial Intelligence Is Transforming Medicine, Physics, and Engineering-and Why the Stakes Have Never Been Higher

The Acceleration: How Artificial Intelligence Is Transforming Medicine, Physics, and Engineering-and Why the Stakes Have Never Been Higher

Forehand, Lon

Paperback

Series: Agi Coming Soon

Medical ReferenceGeneral Science

ISBN13: 9798199893862
Publisher: Independently Published
Published: Jun 3 2026
Pages: 148
Weight: 0.41
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
The scientific method took 400 years to build. AI is rebuilding it in a decade.

The way humanity discovers things is changing. Not incrementally - structurally. AI systems are finding patterns no human researcher could process, identifying drug candidates that decades of traditional research missed, predicting protein structures that stumped biochemists for half a century, and flagging cardiac anomalies in populations that have never seen a cardiologist. The acceleration is real, documented, and happening faster than the institutions built to govern scientific progress can respond.

The Acceleration is the account of what is actually happening at the frontier of AI-driven science - and what it means for medicine, physics, engineering, climate, space, and who gets to benefit from discoveries that should belong to all of humanity.

Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about the promise of AI in science. It is about the reality: diagnoses already being made earlier, drugs already moving through AI-accelerated pipelines, quantum breakthroughs already rewriting what is computationally possible, and an equity gap already widening between institutions with access to these tools and those without.

What this book reveals:

Medicine is being transformed at every layer simultaneously. AI is detecting cancers before symptoms appear, predicting cardiac events invisible to human cardiologists, and identifying drug interactions no clinical trial was designed to catch. The cardiologist ratio - the gap between how many cardiac patients exist and how many cardiologists exist to treat them - is closing through intelligent systems deployed at scale.

The drug development pipeline is being rebuilt from its foundations. AI is collapsing time between target identification and clinical candidate, searching chemical spaces too vast for any human team, and predicting trial failure modes early enough to redirect resources before billion-dollar losses accumulate.

Quantum computing and AI are converging in ways that will redefine what is scientifically possible. The problems that were computationally intractable - materials discovery, high-resolution climate modeling, protein folding at scale - are becoming tractable. The ceiling is rising. Who has access to what is above it is the question this book refuses to defer.

Nine transformations already underway:

- AI is restructuring the architecture of scientific discovery itself

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