How can AI make biophysics data analysis faster and easier? 🧪

Osvaldo Burastero, former ARISE Fellow at EMBL Hamburg & @cssbhamburg.bsky.social, worked on bringing LLMs into the eSPC platform to help users analyse data faster. 👇

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@osvalb.bsky.social

Thousands of images. A handful of protein crystals. Sometimes, none. 🔬

At EMBL Grenoble, ARISE fellow Aurélien Personnaz is developing AI to automatically spot crystals, saving researchers time and helping reveal protein structures that could guide new medicines.

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💭How can AI help scientists study specific molecules in the crowded world of a cell?

Steffen Klein, together with the Baker Lab, used AI to design NovoTags, a new protein tag, helping scientists identify specific proteins inside cells via fluorescence microscopy.

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How is AI helping us better understand the brain?
At EMBL Rome, AI helps researchers build computational models of how the brain predicts, adapts, and responds to unexpected change.
Flàvia Ferrús Marimón shares more in this video.

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Human-made chemicals are all around us.🌎 Most are likely harmless, while others can seriously harm our health.

EMBL-EBI Research Group Leader Jess Ewald @ewaldlab.org shares how her team uses AI to find out how chemicals in the environment could lead to human diseases.

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The future of biological discovery will be shaped by AI.

EMBL Rome group leader Fabio Petroni is building AI that can work alongside scientists and learn from living biological systems.

Watch this video to learn more.

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✨Meet the EMBL researchers who are using AI to answer some of the biggest questions in biology.

Are you also looking for an opportunity to work with AI in biology?
Check out this still-open senior position at EMBL Heidelberg:👇
embl.wd103.myworkdayjobs.com/EMBL/job/Hei...
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How do researchers tackle big amounts of malaria data?

Prisca Kweyamba, EMBL-UNESCO fellowship awardee, uses AI to analyse these datasets and investigate how mosquitoes interact with malaria parasites and adapt to insecticides, advancing malaria control research.

Check the video for more!
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Can AI help scientists deal with large amounts of data generated by large-scale X-ray imaging?

Learn how scientists at EMBL Hamburg are using AI to identify key features in complex 3D imaging data, resulting in more efficient and reliable analysis.

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What if you could predict your chance of developing a disease years before symptoms appear?

An AI model can estimate long-term disease risk for more than 1,000 medical conditions and could help inform how a person's health changes over time.

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Can AI help scientists understand the cellular processes that lead to cancer?

Learn how EMBL scientists are using MAGIC – an automated machine-learning–based microscopy platform – to study the origins of cancer.

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How can AI help prevent the spread of diseases in Ukraine?🇺🇦

Pavlo Petakh, visiting postdoc in the Huber Group at EMBL Heidelberg, uses AI to predict when and where infectious diseases are likely to occur.

Public health systems then use the data to reduce disease incidence and mortality.

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Most diseases are caused by a combination of factors. Rama Abdulhamid, PhD student in the Stegle Group at EMBL Heidelberg, uses AI to study thousands of such factors at once.

By using AI to spot patterns in how a disease develops, Rama and her team can find the health factors driving it.

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What happens when AI and biology accelerate each other?

EMBL Acting Head of AI Centre, Oliver Stegle, discusses how closer integration of these fields could transform the life sciences.

Watch this video to learn more.

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For over 50 years, EMBL has led breakthroughs in European life sciences. Now, we are among those leading the AI revolution in biology.

Powered by the passion of multidisciplinary experts, we integrate AI throughout our work and transform life’s complexity into new possibilities.

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