InterPro 105.0: AI for protein classification
InterPro 105.0 is now live. This AI-driven update makes it easier than ever to explore the protein universe.
2025
updates-from-data-resources
Complex Portal expands Human Complexome with ML-predicted human protein complexes
The Complex Portal – an encyclopaedic resource of macromolecular complexes from key model organisms – has expanded its coverage of the Human Complexome. This includes: To find out more, read the new paper entitled Complex Portal 2025: Predicted human complexes and enhanced visualisation tools…
2024
uncategorizedupdates-from-data-resources
Microbial load can influence disease associations
Scientists have developed a new machine-learning model to predict microbial load — the density of microbes in our guts — and used it to demonstrate how microbial load plays an important role in disease-microbiome associations.
SCIENCE & TECHNOLOGY2024
science-technology
Machine learning discoveries honoured with 2024 Nobel Prize for Physics
The prize was awarded to John J. Hopfield, Princeton University, USA, and Geoffrey Hinton, University of Toronto, Canada, for their seminal contributions to the foundational methods that enabled the development of machine learning.
SCIENCE & TECHNOLOGY2024
science-technology
Why clinical trials stop: the role of genetics
Using machine learning to analyse the genetic factors behind early clinical trial termination, researchers find a link between genetic evidence and trial outcome.
SCIENCE & TECHNOLOGY2024
research-highlightsscience-technology
The AI revolution hinges on accessible training
Team Leader Sameer Velankar on why accessible training is key for AlphaFold and AI tools more generally.
PEOPLE & PERSPECTIVES2024
people-perspectivesperspectivesscience
ProteomicsML: empowering proteomics research with machine learning
Streamlining proteomics data access for machine learning applications.
2024
sciencetechnology-and-innovation
Using artificial intelligence to discover therapeutic antibodies
Former EMBL staff scientist founds a start-up – DenovAI – for broader, faster and cheaper antibody discovery using advanced machine learning and computational biophysics.
SCIENCE & TECHNOLOGY2023
sciencescience-technology
How AI shapes the life sciences: an interview with Oliver Stegle
EMBL scientist Oliver Stegle explains how AI-based tools have the potential to transform our ability to better understand the complexity of life and how these tools will shape the future of life science exploration.
LAB MATTERSPEOPLE & PERSPECTIVES2023
lab-matterspeople-perspectives
AI in biology and health: opportunities and challenges
EMBL gathered together government, industry, and academic researchers to explore how to leverage the power of AI and machine learning to advance research.
CONNECTIONSLAB MATTERS2023
connectionslab-matters
AI at EMBL: enabling responsible innovations in the life sciences
EMBL stands as a leader, exemplifying how to harmoniously integrate AI in research and through its delivery of data services.
LAB MATTERSPEOPLE & PERSPECTIVES2023
lab-matterspeople-perspectives
EMBL receives German AI prize
EMBL receives the German AI prize awarded for outstanding services to the research and development as well as application and commercialisation of artificial intelligence (AI) in life science research.
EMBL ANNOUNCEMENTS2023
embl-announcementsscience
Visualising biology: new tools of the trade
EMBL researchers are pushing the frontiers of big data analysis in biological imaging, allowing scientists to gain a many-layered and multidimensional view of organisms, tissues, and cells in action.
EMBLetc2023
Machine learning to identify and prioritise drug targets
Open Targets is using artificial intelligence and machine learning to identify and prioritise drug targets.
SCIENCE & TECHNOLOGY2023
sciencescience-technologytechnology-and-innovation
AI4LIFE: AI models for bioimaging
Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Natural language processing for rapid protein annotation
Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
EMBL Barcelona and CRG kickstart new era of digital biology in Barcelona
The institutes have launched a joint new initiative which aims to make biology as engineerable as an aeroplane or a bridge.
CONNECTIONSLAB MATTERS2022
connectionslab-matters
Shining a light on how bacteria interact
Machine learning has helped researchers uncover new insights into how bacteria infect host cells.
SCIENCE & TECHNOLOGY2022
research-highlightssciencescience-technology
A machine learning approach for allocating gene function
Researchers in the Ensembl team are making the most of machine learning methods to speed up genome annotation pipelines
SCIENCE & TECHNOLOGY2022
sciencescience-technologytechnology-and-innovation
Europe PMC: Harnessing the power of text mining to accelerate life sciences research
How text mining collaborations benefit our research, data resources, and the wider scientific community.
SCIENCE & TECHNOLOGY2022
sciencescience-technologytechnology-and-innovation
A cellular atlas of an entire worm
EMBL scientists and colleagues have developed an interactive atlas of the entire marine worm Platynereis dumerilii in its larval stage. The PlatyBrowser resource combines high-resolution gene expression data with volume electron microscopy images.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Organoids and machine learning: image analysis software developed during lockdown
MOrgAna is an open source, user-friendly, modular software that is able to analyse organoids with machine learning.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Charting a multi-omic universe
A research collaboration used machine learning to map tumour molecular make-up, potentially paving way to more customised cancer treatment.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Artificial neural networks revolutionise biological image analysis
Packaged for simple installation and free use, the novel method DECODE enables researchers to reduce imaging times and increase localisation density in single-molecule localisation microscopy (SMLM).
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Illuminating protein complexes in cells
EMBL group leaders Julia Mahamid, Anna Kreshuk & Jonas Ries awarded Chan Zuckerberg Initiative grant to advance what we see inside cells.
LAB MATTERSPEOPLE & PERSPECTIVES2021
lab-matterspeople-perspectives
Artificial intelligence makes great microscopes better than ever
EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
SCIENCE & TECHNOLOGY2021
sciencescience-technology
Chan Zuckerberg Initiative recognises EMBL scientists
The Chan Zuckerberg Initiative has recognised four EMBL researchers with their most recent awards, showing how tech trailblazers are integral to advancing science and medicine.
EMBL ANNOUNCEMENTSLAB MATTERS2020
embl-announcementslab-matters
Intelligent software tackles plant cell jigsaw
Starting with computer code and moving on to a more user-friendly graphical interface called PlantSeg, the Kreshuk Group at EMBL and collaborators built a simple open-access method to provide the most accurate and versatile analysis of plant tissue development to date.
SCIENCE & TECHNOLOGY2020
sciencescience-technology
Predicting how gene expression varies
Discoveries at EMBL will help researchers to interpret one of the most common types of experiments in genomics and medical studies.
SCIENCE & TECHNOLOGY2020
sciencescience-technology
Bridging artificial intelligence and the life sciences – launch of ELLIS Heidelberg
Researchers from all life science disciplines – from fundamental biological research to medical applications – generate immense datasets. Analysing these datasets and gaining new knowledge from them is a growing challenge for scientists. The fields of artificial intelligence (AI) and machine…
LAB MATTERSSCIENCE & TECHNOLOGY2020
lab-mattersscience-technology
Artificial intelligence finds patterns of mutations and survival in tumour images
Researchers have developed an artificial intelligence algorithm that uses computer vision to analyse tissue samples from cancer patients. The algorithm can distinguish between healthy and cancerous tissues, and can also identify patterns DNA and RNA changes in tumours.
SCIENCE & TECHNOLOGY2020
sciencescience-technology
An in silico hope for biology: machine learning
How EMBL scientists are using machine learning to advance biology
LAB MATTERSSCIENCE & TECHNOLOGY2018
lab-mattersscience-technology
Welcome: Anna Kreshuk
New Heidelberg group leader creates tools to help biologists work faster and better
PEOPLE & PERSPECTIVES2018
people-perspectivesscience
No results found