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DTSTART;TZID=Europe/Stockholm:20261016T100000
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SUMMARY:Localising AI for Health: Networks\, Research and Capacity Building
DESCRIPTION:Edna Soomre\, Dr. Johnblack K. Kabukye \n\n\n\nNBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence 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 approx. 45 min presentation and 15 min discussion. \n\n\n\nWhen: October 16\, 10:00-11:00 \n\n\n\nWhere:  Zoom http://meet.nbis.se/ainw \n\n\n\nSpeakers: Edna Soomre\, Dr. Johnblack K. Kabukye \n\n\n\n \n\n\n\nSPIDER\, Stockholm University \n\n\n\nAbstract \n\n\n\nHow can AI for health respond to locally identified needs and draw on local expertise? This guest lecture brings together SPIDER’s approach to digital development and practical perspectives from localised AI work in cervical cancer and mental health. \n\n\n\nEdna Soomre introduces the pillars of SPIDER’s work—networks\, research\, and capacity building—and explores how evidence of need\, the mobilisation of local talent\, and a multi-stakeholder approach can guide locally relevant AI initiatives. Her contribution considers how partnerships can connect research\, technical expertise\, and practical healthcare needs. \n\n\n\nDr. Johnblack K. Kabukye then draws on his clinical and health informatics experience to discuss localised AI work in cervical cancer and mental health. These examples illustrate the importance of local context\, digital health maturity\, and integration into existing healthcare services when developing and applying AI. \n\n\n\n \n\n\n\nAbout the speakers:  \n\n\n\nEdna Soomre is Head of Partnerships\, Innovation & Digital Health at SPIDER\, based at Stockholm University’s Department of Computer and Systems Sciences. She brings over 20 years of experience across international development\, global health\, and human rights. Her academic background spans International Relations and Development Studies\, and she holds a master’s degree in International and Comparative Legal Studies. Her work connects partnerships\, innovation\, and digital health\, with a focus on inclusive digital development. She brings a perspective grounded in collaboration across sectors and countries\, highlighting the importance of local expertise\, capacity building\, and ensuring that digital initiatives respond to the needs of the communities they serve. \n\n\n\nDr. Johnblack K. Kabukye is a medical doctor\, health informatics specialist\, and researcher affiliated with SPIDER at Stockholm University’s Department of Computer and Systems Sciences and the Uganda Cancer Institute. He holds a PhD in Medical Informatics from the University of Amsterdam\, an MSc in Health Informatics from Karolinska Institutet and Stockholm University\, and a medical degree from Makerere University in Uganda. He brings over a decade of experience in clinical oncology and digital health research\, including clinical practice at the Uganda Cancer Institute. His research focuses on designing\, implementing\, and evaluating contextually appropriate digital health solutions for healthcare providers and patients in low-resource settings. His work includes patient-support telephone services\, and AI-assisted tools for cervical cancer screening. By combining clinical experience with health informatics research\, he works to ensure that digital technologies respond to practical healthcare needs and contribute to more accessible and equitable care. \n\n\n\nTo stay updated\, you can join our email list by contacting ai-network@scilifelab.se. \n\n\n\n\nJoin Seminar
URL:https://www.scilifelab.se/event/localising-ai-for-health-networks-research-and-capacity-building/
LOCATION:Online event via Zoom
CATEGORIES:Event
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DTSTART;TZID=Europe/Stockholm:20261027T100000
DTEND;TZID=Europe/Stockholm:20261027T110000
DTSTAMP:20260923T161235Z
CREATED:20260923T161234Z
LAST-MODIFIED:20260923T161235Z
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SUMMARY:Webinar: Reinventing Bioinformatics: AI-mediated refactoring at scale
DESCRIPTION:Welcome to join us for the Tools for AI/ML research in life sciences event series for our next webinar. We welcome Johan Henriksson (Umeå university and SciLifeLab) to present “Reinventing Bioinformatics: AI-mediated refactoring at scale”. \n\n\n\nDate and time: October 27 at 10:00-11:00 Stockholm time (CEST)Speaker: Johan Henriksson\, Umeå university and SciLifeLab \n\n\n\nRegistration: Please register before October 26\, at 18.00 CEST. \n\n\n\n\nRegister\n\n\n\n\nAbstract \n\n\n\nBioinformatics and academic Open Source software have always been at mercy of available resources\, limiting software quality and what we realistically can produce. However\, agentic AI has now drastically reduced the cost of producing sophisticated software. \n\n\n\nThis talk will be a “call to arms”\, showing what can now be done using AI\, and aimed to inspire a major refactoring of the academic software ecosystem. I will give examples of (1) How lab software can be written to fit your needs rather than the other way around. (2) How proprietary file formats can be cracked open and how we can push for file format standardization. (3) How to completely remove the need for Conda and containers\, and never have a version conflict again. (4) How to make bioinformatics code faster\, safer and more ecofriendly. (5) How major commercial software legally can be replaced. (6) How all of this enables the SciLifeLab AI strategy. \n\n\n\nExamples will especially be provided in the context of microscopy and image analysis; but also examples beyond imaging\, to avoid domain-specific data management solutions. \n\n\n\n\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 data science and machine learning methods in their work. The goal of the events in this seminar 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. We organise in-person workshops and webinars as part of the event series. The events are open to all researchers in Sweden and beyond\, regardless of SciLifeLab affiliation. \n\n\n\nContact: SciLifeLab Data Centre  serve@scilifelab.se
URL:https://www.scilifelab.se/event/reinventing-bioinformatics/
LOCATION:Online event via Zoom
CATEGORIES:Event
ORGANIZER;CN="SciLifeLab Data Centre":MAILTO:datacentre@scilifelab.se
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DTSTART;TZID=Europe/Stockholm:20261027T110000
DTEND;TZID=Europe/Stockholm:20261027T120000
DTSTAMP:20260916T093614Z
CREATED:20260916T093613Z
LAST-MODIFIED:20260916T093614Z
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SUMMARY:When every hypothesis is published: AI and the exploitation of Open Science Assets
DESCRIPTION: Open science has given us a shared public good\, in the form of publications and public datasets\, free to access and reuse by anyone. But AI can now generate\, test and write up hypotheses against those assets faster than our community can evaluate them. This seminar looks at what happens to open repositories when they become inputs to industrial-scale hypothesis generation. We will also provide case studies of outputs that can be generated in under an hour\, and examples of the impact on the literature (including the de facto banning of some open science resources altogether). It also asks what data stewards\, funders and publishers can realistically do about it. \n\n\n\nPresenters:  \n\n\n\nMatt Spick Institute for People-Centred AI\, University of Surrey\, UK \n\n\n\nMatt Spick is a Lecturer in Health and Biomedical Data Analytics at the University of Surrey and a member of the Institute for People-Centred AI. His research focuses on AI\, research integrity\, Open Science and the detection of problematic scientific publishing. \n\n\n\n Danny Maupin School of Health Sciences\, University of Surrey\, UK \n\n\n\nDanny Maupin is a Research Fellow in Health Data Sciences at the University of Surrey. His research spans digital health\, AI and research integrity\, including how generative AI is changing research practices and the use of Open Science resources. \n\n\n\nThe session will conclude with an open Q&A\, providing an opportunity to ask questions and interact with presenters. \n\n\n\nMore Information\n\n\n\nThis event is part of the SciLifeLab Open Science seminar series\, an event series by the SciLifeLab Data Centre and NBIS joint Data Management team.The goal of the events in this seminar series is to provide interesting interactive seminars around topics related to Research Data Management and Open Science in general\, and to foster discussions around best practices. \n\n\n\nResearch Data Management (RDM) concerns the organization\, storage\, preservation\, and sharing of data that is collected and analyzed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.Open Science is a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefits of scientists and society as a whole. Open science is about making sure not only that scientific knowledge is accessible but also that the production of that knowledge itself is inclusive\, equitable and sustainable. \n\n\n\nThe events are open to everyone working at or affiliated with a Swedish research institute or university. We welcome all researchers\, educational professionals\, staff\, RDM professionals\, and others with an interest in life sciences\, from all university levels. The events are informal and inclusive\, so feel welcome to join and participate in our interesting discussions! \n\n\n\nThe events will be recorded and published openly after the seminars on the SciLifeLab YouTube channel. The slides will be made available at our SciLifeLab Data Repository.More information about SciLifeLab Data Centre and NBIS joint Open Science seminar series: https://www.scilifelab.se/data/scilifelab-data-management-seminar-series/ \n\n\n\nIf you have suggestions for topics or presentations\, please contact us at data-management@scilifelab.seFor more information or inquiries\, please contact us at  data-management@scilifelab.se
URL:https://www.scilifelab.se/event/when-every-hypothesis-is-published-ai-and-the-exploitation-of-open-science-assets/
LOCATION:Online event via Zoom
ORGANIZER;CN="Open Science Seminar Series":MAILTO:data-management@scilifelab.se
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