Gladstone Institutes
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To drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment.
Learn more about what makes AI such a powerful tool in science at gladstone.org/AI
In this way, AI models can identify new features that humans had not known were important.
And it can do so even if certain features (like a tail) are hidden, or using features that would not have been included in a conventional programming list (like the tabby color).
When shown a photo, the AI model can recognize the cat in a different way using its own patterns.
In contrast, machine learning would involve showing the computer thousands of photos of cats, and letting it figure out patterns on its own, without being told what to look for.
When you show the computer a photo, it would recognize the cat by going through the list of given features.
In conventional programming, a person writes a code with specific instructions to teach the computer how to perform a series of operations.
Let’s say you want to teach a machine to recognize cats in photos. This is how conventional programming and machine learning would differ.
That’s when computers learn from data without being programmed with a set of predetermined rules.
The most common form of AI used in biomedical research falls within a category called machine learning.
We're gearing up for the 2026 Bay Are Heart Walk! Learn how you can support our team ➡️ https://bit.ly/3TnlUS9
Ever wonder what it's like working at Gladstone? This gives you just a glimpse of the collaboration, creativity, and discovery that happens on a daily basis.
How do you teach AI to better understand human DNA? By letting it learn from real experiments. At Gladstone, scientists have built a powerful platform that combines AI with cutting-edge genome editing to identify the DNA changes that cause disease—and continuously improve with every discovery.
Geneformer is to biology what large language models are to text. Trained on data from over 100 million cells, this AI model helps scientists understand gene networks, predict how diseases develop, and identify the best genes to target for new therapies.
Congrats to the team behind The Last Gift on winning the 2026 Pacific Southwest Emmy Award in the Health/Medical category! The doc follows Jim Dunn's decision to donate his tissues to science to help advance the search for an HIV cure. Learn more: https://bit.ly/4p3hIRO
We're partnering with Anthropic for Built with Claude: Life Sciences—a virtual hackathon exploring how AI can accelerate biomedical discovery. Work with datasets from Gladstone scientists, build with Claude Science, and compete for $100k in Claude API and usage credits. ➡️ https://bit.ly/4ePGFwY
"By creating a platform that allows us to decode the language of life as it’s written in DNA, we will ultimately be able to predict disease before it happens and intervene."
Finally, the scientists use all the data from the experiments to retrain the AI model, telling it which predictions were right and which were wrong, to make it better, faster, and more accurate—and start the whole process again.
Then, the edited cells are analyzed using a new measurement technology developed by Vijay Ramani. His team can confirm the edit each cell received and determine how that edit affected the cell’s function.
The AI predictions are then tested in Seth Shipman’s lab. His group invented a new method to edit the DNA of thousands of human cells—all at once. They combine all the molecular parts needed to edit the genome into a single package, and every cell in the dish gets a different edit.
The first component is an AI model, designed by Katie Pollard’s team, that can look at millions of genome sequences and predict which DNA changes are most likely causing disease.
They’ve built a platform that combines advanced computational models with novel tools in the experimental lab to test their hypotheses about how DNA works.
Gladstone scientists who develop new technologies— both AI models on the computer and molecular tools in the lab—are coming together to solve one of the most challenging problems in science.
Do you know someone who should be honored for their work in stem cell biology or regenerative medicine? The deadline to nominate them for the Ogawa-Yamanaka Stem Cell Prize is approaching. Learn more: https://gladstone.org/ogawa-yamanaka-stem-cell-prize
Featuring @benoitbruneau.bsky.social and @theottlab.bsky.social
Different expertise. Shared mission. One team. ⚽ We gave our scientific directors the World Cup treatment. Can you collect them all?
CAR T-cell therapy has transformed treatment for some blood cancers, but it has yet to achieve the same success against solid tumors. In the Pelka Lab at Gladstone, scientist Alisa Dietl is working to understand why.
