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
Science & Technology Using machine learning to analyse the genetic factors behind early clinical trial termination, researchers find a link between genetic evidence and trial outcome.
2024
research-highlightsscience-technology
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
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
EMBL Announcements 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.
2023
embl-announcementsscience
EMBLetc 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.
2023
Science & Technology Open Targets is using artificial intelligence and machine learning to identify and prioritise drug targets.
2023
sciencescience-technologytechnology-and-innovation
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
ConnectionsLab Matters The institutes have launched a joint new initiative which aims to make biology as engineerable as an aeroplane or a bridge.
2022
connectionslab-matters
Science & Technology Machine learning has helped researchers uncover new insights into how bacteria infect host cells.
2022
research-highlightssciencescience-technology
Science & Technology Researchers in the Ensembl team are making the most of machine learning methods to speed up genome annotation pipelines
2022
sciencescience-technologytechnology-and-innovation
Science & Technology How text mining collaborations benefit our research, data resources, and the wider scientific community.
2022
sciencescience-technologytechnology-and-innovation
Science & Technology 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.
2021
sciencescience-technology
Science & Technology MOrgAna is an open source, user-friendly, modular software that is able to analyse organoids with machine learning.
2021
sciencescience-technology
Science & Technology A research collaboration used machine learning to map tumour molecular make-up, potentially paving way to more customised cancer treatment.
2021
sciencescience-technology
Science & Technology 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).
2021
sciencescience-technology
Lab MattersPeople & Perspectives EMBL group leaders Julia Mahamid, Anna Kreshuk & Jonas Ries awarded Chan Zuckerberg Initiative grant to advance what we see inside cells.
2021
lab-matterspeople-perspectives
Science & Technology EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
2021
sciencescience-technology
EMBL AnnouncementsLab Matters 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.
2020
embl-announcementslab-matters
Science & Technology 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.
2020
sciencescience-technology
Science & Technology Discoveries at EMBL will help researchers to interpret one of the most common types of experiments in genomics and medical studies.
2020
sciencescience-technology
Lab MattersScience & Technology 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…
2020
lab-mattersscience-technology
Science & Technology 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.
2020
sciencescience-technology
Lab MattersScience & Technology How EMBL scientists are using machine learning to advance biology
2018
lab-mattersscience-technology
People & Perspectives New Heidelberg group leader creates tools to help biologists work faster and better
2018
people-perspectivesscience
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