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 and innovation Open Targets is using artificial intelligence and machine learning to identify and prioritise drug targets.
2023
sciencetechnology-and-innovation
Announcements, Science Researchers across EMBL are helping to make artificial intelligence (AI) models for bioimaging analysis interoperable and openly available to the scientific community.
2022
announcementsscience
Technology and innovation Over 40 million protein annotations have been added to the UniProt database using a Google Research natural language processing model.
2022
technology-and-innovation
Lab Matters The institutes have launched a joint new initiative which aims to make biology as engineerable as an aeroplane or a bridge.
2022
lab-matters
Research highlights, Science Machine learning has helped researchers uncover new insights into how bacteria infect host cells.
2022
research-highlightsscience
Science, Technology and innovation Researchers in the Ensembl team are making the most of machine learning methods to speed up genome annotation pipelines
2022
sciencetechnology-and-innovation
Science, Technology and innovation How text mining collaborations benefit our research, data resources, and the wider scientific community.
2022
sciencetechnology-and-innovation
Science 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
science
Science MOrgAna is an open source, user-friendly, modular software that is able to analyse organoids with machine learning.
2021
science
Science A research collaboration used machine learning to map tumour molecular make-up, potentially paving way to more customised cancer treatment.
2021
science
Science 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
science
Lab Matters EMBL group leaders Julia Mahamid, Anna Kreshuk & Jonas Ries awarded Chan Zuckerberg Initiative grant to advance what we see inside cells.
2021
lab-matters
Science EMBL scientists have combined artificial intelligence (AI) algorithms with two cutting-edge microscopy techniques.
2021
science
Lab 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
lab-matters
Science 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
science
Science Discoveries at EMBL will help researchers to interpret one of the most common types of experiments in genomics and medical studies.
2020
science
Lab Matters 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-matters
Science 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
science
Lab Matters How EMBL scientists are using machine learning to advance biology
2018
lab-matters
Science New Heidelberg group leader creates tools to help biologists work faster and better
2018
science
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