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DTSTART;TZID=Europe/Stockholm:20240202T100000
DTEND;TZID=Europe/Stockholm:20240202T110000
DTSTAMP:20260510T234748
CREATED:20231207T150409Z
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SUMMARY:Practical intro to GPU programming in Python and Julia
DESCRIPTION:This event is part of the Tools for AI/ML research in life sciences event series arranged by the SciLifeLab Data Centre. This webinar is organized in collaboration with the EuroHPC National Competence Centre Sweden (ENCCS) as well as the National Supercomputer Centre\, LiU. \n\n\n\nTitle: Practical intro to GPU programming in Python & Julia \n\n\n\nSpeaker: Yonglei Wang\, PhD\, Research Software Engineer and HPC application expert\, ENCCS \n\n\n\nWhere and when: February 2\, 2024 at 10:00-11:00 Stockholm time\, online. Registration is open till February 2 at 9:00.  \n\n\n\nAbstract: Availability of Graphics Processing Units (GPUs) has transformed the way we work with machine learning and data science challenges in life sciences. The parallel processing capabilities of GPUs have allowed training of ever more complex models\, allowing researchers to analyze large biological datasets with unprecedented efficiency. However\, in order to make use of the potential that GPUs offer we need be able to write fitting machine learning model code and analysis pipelines. In this webinar ENCCS will present some practical tips about what to keep in mind and how to optimize your code when running analyses on GPU hardware. This webinar will be most useful to researchers who already work with large datasets and would like to improve their understanding of how to work with GPUs. At the end\, the participants will also be given an overview of online materials and in-person courses where researchers can learn about this topic in depth.  \n\n\n\nRegister to join the event\n\n\n\nMore about the event series: \n\n\n\nTools for AI/ML research in life sciences is an event series by the SciLifeLab Data Centre aimed at life science researchers who use machine learning methods in their work. The goal of the events in this series is to provide introductions to different tools for ML research but also to foster discussions around our practices and how they can be improved. The events takes place virtually (over Zoom) and are open to researchers in Sweden and beyond. Each event is scheduled for 60 minutes\, consisting of a talk and an extended discussion. Follow the page of the event series to learn about future seminars. \n\n\n\nFor questions about the events please contact the organizing team by emailing  serve@scilifelab.se  \n\n\n\n \n\n\n\nScientific lead: Prof. Ola Spjuth\, SciLifeLab Data Centre and Uppsala University and DDLS \n\n\n\nContact information: serve@scilifelab.se
URL:https://www.scilifelab.se/event/practical-intro-to-gpu-programming-in-python-and-julia/
LOCATION:Online event via Zoom
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240213T094500
DTEND;TZID=Europe/Stockholm:20240213T153000
DTSTAMP:20260510T234748
CREATED:20240205T094820Z
LAST-MODIFIED:20240212T154340Z
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SUMMARY:Karolinska Institutet DDLS Fellows – Public research seminars with candidates
DESCRIPTION:Welcome to attend research seminars presented by candidates for the following positions:1. DDLS Fellow in Data-Driven Epidemiology and Biology of Infection2. DDLS Fellow in Data-Driven Precision Medicine and Diagnostics \n\n\n\nPart 1. 13 February 2024: DDLS Fellow in Data-Driven Epidemiology and Biology of Infection\n\n\n\nNAMECURRENT AFFILIATIONTIMESupriya KhedkarNA10:00-10:20Andreas LuttensMassachusetts Institute of Technology10:20-10:40Shilpa RayKarolinska Institutet10:40-11:00\n\n\n\nPart 2. 13 February 2024: DDLS Fellow in Data-Driven Precision Medicine and Diagnostics\n\n\n\nNAMECURRENT AFFILIATIONTIMEKimmo KartasaloKarolinska Institutet13:00-13:20David MarleviMassachusetts Institute of Technology and Karolinska Institutet13:20-13:40Amirata Saei DibavarUniversity of Basel and Karolinska Institutet13:40-14:00Alexa McIntyreUniversity of Zurich14:30-14:50Antônio Horta RibeiroUppsala University14:50-15:10Daniel HageyKarolinska Institutet15:10-15:30
URL:https://www.scilifelab.se/event/karolinska-institutet-ddls-fellows-public-research-seminars-with-candidates/
LOCATION:Online event via Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240216T090000
DTEND;TZID=Europe/Stockholm:20240216T093000
DTSTAMP:20260510T234748
CREATED:20240129T102244Z
LAST-MODIFIED:20240213T113142Z
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SUMMARY:AI for Breast Cancer Risk Prediction
DESCRIPTION:I will describe the shortcomings of current breast cancer screening programs which are based on mammography for everyone. I will discuss how we developed an approach based on artificial intelligence to analyze mammograms of supposedly healthy women. The system considers three aspects\, long-term risk\, mammographic masking and subtle cancer signs. We developed the method\, analyzed the performance in retrospective data and performed a clinical study – ScreenTrustMRI. Given the same budget of additional MRI\, the AI approach detected around four times more cancers than would have been expected from established methods based on simplistic estimates of mammographic density. \n\n\n\nFredrik Strand\, Karolinska Institutet \n\n\n\n \n\n\n\nregistration\n\n\n\nClinical Talks \n\n\n\nClinical Talks is an educational seminar series open to everyone. It is organized by the SciLifeLab Precision Medicine Capability\, and invites a mixture of speakers that are experts with a clinical perspective on topics concerning rare diseases\, cancer\, microbiology and bioinformatics. \n\n\n\nHealth is individual and patients can benefit greatly from personalized treatments\, tailored for their specific molecular disposition. This rapidly emerging field\, known as Precision Medicine\, relies on technology development and requires close collaboration between scientists and healthcare professionals. SciLifeLab aims to bring cutting-edge technologies\, first-class expertise and data infrastructure to build the foundation of tomorrow’s Precision Medicine.
URL:https://www.scilifelab.se/event/ai-for-breast-cancer-risk-prediction/
LOCATION:Online event via Zoom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2024/01/Clinical-Talks-sq.png
ORGANIZER;CN="Clinical Talks":MAILTO:precisionmedicine@scilifelab.se
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DTSTART;TZID=Europe/Stockholm:20240216T100000
DTEND;TZID=Europe/Stockholm:20240216T110000
DTSTAMP:20260510T234748
CREATED:20240115T121541Z
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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
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DTSTART;TZID=Europe/Stockholm:20240221T100000
DTEND;TZID=Europe/Stockholm:20240221T110000
DTSTAMP:20260510T234748
CREATED:20240208T103812Z
LAST-MODIFIED:20251204T144857Z
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SUMMARY:Discover SciLifeLab cutting-edge services supporting data sharing: Data Repository and Serve
DESCRIPTION:Welcome to join the first event this Spring in the SciLifeLab Data Management seminar series. The topic of this online seminar is “Discover SciLifeLab cutting-edge services supporting data sharing: Data Repository and Serve“. The seminar will start with an introduction to data sharing followed by presentations of two SciLifeLab services connected to data sharing; SciLifeLab Data Repository – institutional instance of Figshare and SciLifeLab Serve – hosting of AI and Machine Learning model and apps.Welcome!Speakers: Anna Asklöf\, Data Steward\, and Arnold Kochari\, Project Leader\, SciLifeLab Data Centre. The event is moderated by Parul Tewatia.When: Feb 21st 10.00-11:00 CET (Zoom). \n\n\n\nregistration\n\n\n\nSciLifeLab Data Management seminar series is an event series by the SciLifeLab Data Centre and NBIS joint Data Management team aimed at both the life science research community and infrastructure\, and others with an interest in research data management in life sciences. The events will showcase how to put the FAIR principles\, and good data management into practice. The goal of the events in this seminar series is to provide interesting seminars around topics related to research data management in general but also to foster discussions around best practices and how they can be improved. The events takes place virtually (over Zoom) and are open to everyone\, (researchers\, staff\, RDM professionals etc.) working at or affiliated with a Swedish research institute or university. Each event is scheduled for 60 minutes\, including 15 minutes for discussions and Q & A. The videos will be published openly after the seminars at the SciLifeLab YouTube channel. \n\n\n\nMore information about SciLifeLab Data Centre and NBIS joint Data Management team: https://data-guidelines.scilifelab.se/ \n\n\n\nWelcome! \n\n\n\nOrganisers: SciLifeLab Data Centre and NBIS National Bioinformatics Infrastructure SwedenFor more information or inquiries please contact: data-management@scilifelab.se
URL:https://www.scilifelab.se/event/discover-scilifelab-cutting-edge-services-supporting-data-sharing-2/
LOCATION:Online event via Zoom
CATEGORIES:Event
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
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