Exciting Breakthroughs in Genetic Science
How AI and CRISPR Are Rewriting the Future of Medicine
When you hear the word genetics, what comes to mind? Maybe eye color, family traits, or the idea of “things running in the family.”
In my family, it was a running joke that specific traits of my brother and me would get immediately traced back to either my mom’s side or my dad’s side. My spaciness and artistic side got attributed to my dad, while my brother’s quick-witted nature and fast pace (lol) were often credited to my mom. We would joke about the “Aranda gene” versus the “Dean gene,” and it actually felt like it made perfect sense.
But … what exactly is a gene?
A gene is a section of DNA that you inherit from your parents and that contains instructions your body uses to build proteins and determine traits like your appearance and how your body functions.
But genes do much more than influence personality quirks or physical traits. They can also carry the instructions behind serious disease, which is what makes genetics both fascinating and, at times, deeply consequential. Fortunately, we are living in a time when technology is deepening our understanding of this complexity like never before, while also turning that knowledge into real-world tools that can detect disease earlier, enable more precise treatments, and begin to reshape how we think about targeting illness at the genetic level.
A New Shift is Also Underway:
Artificial intelligence is not only accelerating genetics research but expanding what is possible with it. AI can analyze massive genetic datasets, identify disease-related patterns, and help guide gene editing in ways that were previously unimaginable, moving us from simply reading DNA to actively working with it.
CRISPR: Editing the Code of Life
One of the most powerful tools driving this shift is CRISPR.
CRISPR (clustered regularly interspaced short palindromic repeats) is a gene-editing tool that allows scientists to make precise changes to DNA. It works like molecular scissors, allowing researchers to cut, remove, or rewrite sections of genetic code (4).
On its own, CRISPR is already powerful. But paired with AI, it becomes something else entirely.
AI helps predict which edits will work, reduces errors, and suggests better experimental designs before scientists even begin. It turns gene editing into a faster and more data-driven process, especially in medicine, where accuracy is critical. (7)
Why This Matters in Medicine
Instead of treating disease in broad, generalized ways, these breakthroughs are making it possible to do things that were not feasible before, like targeting the genetic root of a disease, correcting mutations at their source, and designing treatments that are tailored to an individual’s DNA. The impact of this shift is already beginning to show up across several areas of medicine. Here are some examples:
Genetic Disease Treatment:
Genetic diseases are conditions caused by changes (mutations) in a person’s genes or in their DNA that can be inherited from one or both parents or occur spontaneously for the first time. These changes can disrupt the body’s instructions for making proteins, which can affect how cells, organs, and systems function.
In a first-in-human trial, researchers used CRISPR gene editing to create insulin-producing cells for a 42-year-old Swedish man with the genetically inherited disease Type 1 Diabetes, who in December 2024 received 17 injections of these modified pancreatic cells into his arm. The engineered cells survived and produced insulin without the need for immunosuppressive drugs. Although the patient still requires insulin and the results come from a single early case, the study offers a promising proof-of-concept that CRISPR-based cell therapies could one day treat diabetes at its root cause rather than just manage symptoms. (3)
Rare diseases
Rare diseases may see some of the most profound impact.
Over 30 million Americans (nearly 1 in 10 people) are living with one of the roughly 10,000 identified rare diseases. For many, reaching a diagnosis takes 5–8 years and involves visits to 8 or more specialists (2), a process often filled with uncertainty, delayed answers and intense emotional distress.
Developing treatments is also difficult because these conditions are not well understood, and small patient populations make clinical trials challenging. Fewer than 5% of rare diseases have approved treatments, leaving over 95% of patients without a specific, approved therapy for their condition (6).
Recent research shows AI is helping close this gap by analyzing genetic and clinical data to identify disease-causing variants earlier and more accurately, while also connecting scattered patient records to enable faster, more precise diagnoses and treatment plans. (2)
Cancer research
CRISPR is also showing strong potential in cancer research. Scientists are exploring how to switch off genes that drive tumor growth, repair harmful mutations, and even strengthen the immune system’s ability to fight cancer.
A recent review by Chehelgerdi et al., highlights one approach using nanoparticle carriers to deliver CRISPR tools and cancer-fighting molecules directly into cancer cells. Once inside, the CRISPR system turns off cancer-driving genes, while the molecules help either kill the cancer cells or make them easier for the immune system to eliminate. The outcome is the destruction of cancer cells and shrinking of tumors, all while minimizing damage to healthy tissue.
This marks a major shift toward highly targeted genetic strategies that could lead to more precise, personalized cancer treatments in the future. Challenges remain before these approaches can be widely used in clinical settings, but early studies are showing strong and encouraging promise. (1)
Bonus: When Biology Becomes Programmable
In one of the most striking recent breakthroughs, scientists working with AI engineered a new strain of E. coli bacteria with a reduced genetic code of 19 amino acids instead of the usual 20. Even after removing a building block once thought essential for life, the bacteria could still survive because AI helped redesign key proteins. (5)
This suggests something profound. Life’s code may be far more flexible than we ever imagined, and it hints at a future where biology itself can be designed, not just discovered.
This could one day help scientists design custom microbes and proteins that make medicines, target diseases more precisely, and improve how we understand and treat illness at the molecular level.
Conclusion: From Reading DNA, to Editing it, To Rewriting It
Research is showing that even the fundamental building blocks of life can be re-engineered with AI, using systems like E. coli as testing grounds. At the same time, AI is making CRISPR faster, smarter, and more predictive across medicine and biology.
Most of this is still in the lab, but we are clearly heading toward a model of medicine where we don’t just treat disease after it appears, but design biological tools that help prevent and rewrite it at the genetic level.
We are truly living in an incredible time where diagnoses that can feel uncertain, slow or scary are giving way to faster answers, greater precision, and extraordinary new pathways to effective treatment.
Thanks for reading! Please check out the resources below for more information on these topics.
Resources:
(1) Chehelgerdi, M., Chehelgerdi, M., Khorramian-Ghahfarokhi, M. et al.Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy. Mol Cancer 23, 9 (2024). https://doi.org/10.1186/s12943-023-01925-5
(2) Ho, M.-L., Zitnik, M., Azachi, R., Basu, S., Rajpurkar, P., et al. (2026). Unifying the odyssey: Artificial intelligence for rare disease diagnosis and therapy. Health and Technology, 16, 621–632. https://doi.org/10.1007/s12553-026-01057-y
(3)Leslie, M. (2025, August 4). Immune-dodging cells could give diabetes treatment a shot in the arm. Science. https://www.science.org/content/article/immune-dodging-cells-could-give-diabetes-treatment-shot-arm
(4) National Geographic Society. Molecular scissors. National Geographic Education. https://education.nationalgeographic.org/resource/molecular-scissors/
(5) Offord, C. (2026, April 30). AI helps create bacterium with a partially missing universal amino acid. Science. https://www.science.org/content/article/ai-helps-create-bacterium-s-partially-missing-universal-amino-acid
(6) U.S. Government Accountability Office. (2024). Rare disease drugs: FDA has steps underway to strengthen coordination of activities supporting drug development (GAO-25-106774). https://www.gao.gov/products/gao-25-106774
(7) Zhao, Y., Li, X., & Du, Y. (2026). AI-driven CRISPR screening: Optimizing gene editing through automation and intelligent decision support. Journal of Translational Medicine, 24, 419. https://doi.org/10.1186/s12967-026-07849-0