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DTSTART;TZID=Europe/Stockholm:20240419T100000
DTEND;TZID=Europe/Stockholm:20240419T110000
DTSTAMP:20260527T123312
CREATED:20240115T121853Z
LAST-MODIFIED:20240115T121929Z
UID:10001109-1713520800-1713524400@www.scilifelab.se
SUMMARY:Model-guided ML approaches to integrative omics analyses
DESCRIPTION:NBIS\, Scilifelab’s Bioinformatics platform\, arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with ca. 45 min long presentation and 15 min discussion. \n\n\n\nFor further info\, please see this website. \n\n\n\n \n\n\n\n\n\n\n\nModel-guided ML approaches to integrative omics analyses\n\n\n\nCemal Erdem\, DDLS fellow\, Umeå University \n\n\n\nClick here to join zoom conference
URL:https://www.scilifelab.se/event/model-guided-ml-approaches-to-integrative-omics-analyses/
LOCATION:Online event via Zoom
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240315T100000
DTEND;TZID=Europe/Stockholm:20240315T110000
DTSTAMP:20260527T123312
CREATED:20240222T142943Z
LAST-MODIFIED:20240222T142946Z
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SUMMARY:AI and Ethics
DESCRIPTION:Speaker \n\n\n\nPerihan Elif Ekmekci\, Faculty of Medicine\, TOBB ETÜ University of Economics and Technology\, Turkey \n\n\n\nNBIS arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with ca. 45 min long presentation and 15 min discussion.  \n\n\n\njoin meeting
URL:https://www.scilifelab.se/event/ai-and-ethics/
LOCATION:Online event via Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240216T100000
DTEND;TZID=Europe/Stockholm:20240216T110000
DTSTAMP:20260527T123312
CREATED:20240115T121541Z
LAST-MODIFIED:20240213T154055Z
UID:10001108-1708077600-1708081200@www.scilifelab.se
SUMMARY:Clusters\, gene flow and artificial genotypes - looking at population structure from a deep learning angle
DESCRIPTION:NBIS\, Scilifelab’s Bioinformatics platform\, arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with ca. 45 min long presentation and 15 min discussion. \n\n\n\nFor further info\, please see this website. \n\n\n\n \n\n\n\n\n\n\n\nClusters\, gene flow and artificial genotypes: looking at population structure from a deep learning angle\n\n\n\nMarcin Kierzcak\, NBIS\, Uppsala University \n\n\n\nWe will look at different ways of modelling and visualising population structure based on genomic kinship. Starting from more traditional approaches like PCA or MDS as benchmark\, we will see how one can build more complex deep learning-based models (autoencoders) and we will discuss when such approach can be beneficial. Finally\, we are going to see how generative deep learning (VAEs) can be used to augment original input data with some artificially-generated individuals with desired pre-defined kinship relationships. \n\n\n\nsee further on the session page https://scilifelab.atlassian.net/l/cp/oR289EJK for updates. \n\n\n\nHope to see you all on this exciting talk on Friday\, \n\n\n\nClick here to join zoom conference
URL:https://www.scilifelab.se/event/clusters-gene-flow-and-artificial-genotypes/
LOCATION:Online event via Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240119T100000
DTEND;TZID=Europe/Stockholm:20240119T110000
DTSTAMP:20260527T123312
CREATED:20240115T114456Z
LAST-MODIFIED:20240116T094413Z
UID:10001107-1705658400-1705662000@www.scilifelab.se
SUMMARY:AICell Lab -- Building AI Systems for Human Cell Modeling and Simulation
DESCRIPTION:NBIS\, Scilifelab’s Bioinformatics platform\, arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with ca. 45 min long presentation and 15 min discussion. \n\n\n\nFor further info\, please see this website. \n\n\n\n \n\n\n\n\n\n\n\nAICell Lab — Building AI Systems for Human Cell Modeling and Simulation\n\n\n\nWei Ouyang\, DDLS fellow\, Royal Institute of Technology\, KTH \n\n\n\nThe AICell Lab is a newly founded group by the Data-Driven Life Science fellows program at the department of applied physics at KTH. The lab is dedicated to building artificial intelligence (AI) systems for cell and molecular biology\, with the ultimate goal of modeling the human cell and building human cell simulators using powerful AI models. The lab’s approach to this grand challenge involves not only innovations in data analysis and modeling\, but also in data generation\, specifically the creation of an automated imaging farm equipped with multiple microscopes\, robotic arms\, liquid handling robots\, and automatic incubators. The lab’s AI software infrastructure enables real-time augmentation of microscopy views\, generating artificial labels and annotations\, and optimizing experimental conditions to capture rare events in live cells. The long-term goal of the AICell Lab is to create large-scale whole human cell models trained on existing multi-omics datasets and new data generated by the imaging farm\, which have the potential to revolutionize in-silico cell experimentation and drug discovery while contributing to a holistic and systematic understanding of the human cell. \n\n\n\nClick here to join zoom conference
URL:https://www.scilifelab.se/event/ai-approach-to-cell-and-molecular-biology/
LOCATION:Online event via Zoom
CATEGORIES:Event
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