Science & Technology 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.
2024
science-technology
Science & Technology 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.
2024
science-technology
EMBL-EBI’s microbiome data resource MGnify produces a valuable trove of protein sequence data through its ongoing analysis of microbiome derived data. Two new MGnify Proteins web resources make this dataset easily accessible and searchable, both for large queries across the entire database…
2024
updates-from-data-resources
Traditional sequence search methods are fast and efficient but rely solely on comparing amino acid sequences. This approach can miss crucial insights because proteins with similar functions can have vastly different sequences. Although their sequences have diverged, these proteins often retain 3D…
2024
updates-from-data-resources
Science & Technology An AI-enhanced advanced microscopy approach offers promise in better understanding glioblastomas, one of the deadliest brain cancers.
2024
science-technology
People & Perspectives Ewan Birney reflects on his time at EMBL and the development of the organisation through a commitment to open data and nurturing scientific talent.
2024
people-perspectivesperspectives
Connections EMBL Grenoble and the ESRF hosted a workshop bringing together representatives from research and industry to discuss the ever-growing role of artificial intelligence in the field of structural biology.
2024
connections
Science & Technology A recent EMBO | EMBL conference provided a forum for researchers to share how AI is making a difference in biology and bioinformatics.
2024
science-technology
AI annotations added to the SureChEMBL database increase the depth of data made available to users.
2024
sciencetechnology-and-innovation
People & Perspectives Team Leader Sameer Velankar on why accessible training is key for AlphaFold and AI tools more generally.
2024
people-perspectivesperspectivesscience
Streamlining proteomics data access for machine learning applications.
2024
sciencetechnology-and-innovation
Science & Technology Former EMBL staff scientist founds a start-up – DenovAI – for broader, faster and cheaper antibody discovery using advanced machine learning and computational biophysics.
2023
sciencescience-technology
Lab MattersPeople & Perspectives 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.
2023
lab-matterspeople-perspectives
Large language models are changing the way we carry out scientific data curation, annotation, and research, setting the stage for a more efficient understanding of scientific literature
2023
technology-and-innovation
In response to user community demands, the AlphaFold Protein Structure database has introduced sequence-based search and cluster members.
2023
updates-from-data-resources
ConnectionsLab Matters EMBL gathered together government, industry, and academic researchers to explore how to leverage the power of AI and machine learning to advance research.
2023
connectionslab-matters
Lab MattersPeople & Perspectives EMBL stands as a leader, exemplifying how to harmoniously integrate AI in research and through its delivery of data services.
2023
lab-matterspeople-perspectives
Science & Technology Ensembl Variant Effect Predictor integrates Google DeepMind’s new AlphaMissense Database for better predictions of genetic variant pathogenicity.
2023
science-technologytechnology-and-innovation
Science & Technology Researchers use the AlphaFold database and Foldseek Cluster algorithm to analyse millions of predicted protein structures and offer new insights into protein evolution.
2023
research-highlightssciencescience-technology
People & Perspectives Experience in data management and coordination has enabled EMBL alumna Laura Clarke to pursue a career in AI development.
2023
people-perspectivesperspectivesscience
The AlphaFold Database boasts improved user experience, including better search filters and an improved 3D viewer.
2023
updates-from-data-resources
Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
Science & Technology EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
2021
sciencescience-technology
Lab Matters EMBL Teen Maria-Theresa Licka shares how female scientists guided & inspired her to develop an app to ID vine disease.
2021
lab-matters
Science & Technology Members of an EMBL-led research group with collaborators in Estonia and Russia have built and trained a deep learning model to better understand how cells grow and divide.
2020
sciencescience-technology
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