At a moment when breakthroughs in AI and genetics are starting to reshape medicine, a new book asks a bigger question: what if we could both treat disease more effectively and prevent it by redesigning the biology that causes it?
Dr. Adrian Woolfson, physician and molecular biologist, is an expert on how advances in artificial intelligence and synthetic biology are transforming medicine from reactive care to precision treatment and prevention at the genetic level.
In On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence (MIT Press, April 28, 2026), Woolfson explains how scientists are beginning to decode the “language” of DNA, making it possible not only to repair faulty genes, but to understand and intervene in the complex systems that drive disease.
This work is already underway. Woolfson is co-founder and CEO of Genyro, a biotechnology company working to design DNA and apply it to new approaches to treating disease.
I had a chance to interview Dr. Woolfson to learn more.
To understand disease at its root, we must first understand the language in which life is written. Every organism carries within its genome a compressed molecular description of itself, and it is within this code that both normal function and dysfunction are specified. Disease is not typically the result of a single, isolated failure, but of disruptions within complex networks of interacting genes.
Without identifying these underlying genetic contributions, we are left treating symptoms rather than causes. The deeper challenge is that many conditions arise from small, cumulative effects across multiple genes, making them resistant to simple fixes. Only by decoding how genomes generate biological function can we move from reactive medicine to truly causal, predictive intervention, where disease is understood as an error in biological programming rather than an unavoidable fate.
What are some of the latest developments in gene research and complicated conditions like cancer and neurodegenerative disease?
Recent advances have shifted biology from a descriptive science toward a predictive and engineering discipline. Gene therapies are already demonstrating the ability to repair or replace faulty genetic components, particularly in monogenic diseases.
However, the frontier lies in far more complex conditions, cancer, neurodegenerative disease, and others which are not driven by single mutations but by intricate, overlapping genetic interactions. These “polygenic” diseases expose the limitations of current approaches: the genome is not clean, modular code but something closer to “spaghetti code,” shaped by billions of years of evolutionary tinkering.
At the same time, breakthroughs in AI-assisted genome analysis and synthetic genomics are beginning to reveal the regulatory “instruction manual” embedded in non-coding DNA, once dismissed as junk but now understood to orchestrate gene activity. This is opening the possibility of understanding not just genetic parts, but the systems-level logic that governs health and disease.
How does artificial biological intelligence provide the possibility of preventing disease before symptoms arise?
Artificial Biological Intelligence (ABI) represents a fundamental shift in how we approach biology. Rather than observing and reacting to disease, ABI aims to predict, generate, and ultimately rewrite the genomic programs that give rise to it.
By combining AI’s ability to detect patterns in vast genomic datasets with technologies that can construct and modify DNA, ABI offers the possibility of identifying harmful genetic configurations before they manifest clinically. In this model, disease is no longer something we wait to detect, but something we can anticipate and design around.
If fully realized, this approach could transform medicine from treatment to prevention, allowing us to intervene at the level of biological code itself. In principle, it could make many diseases avoidable altogether, not by managing their effects, but by ensuring the underlying genetic instructions never give rise to them in the first place.
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