Programpunkter

Insights from work in the cardiovascular ML lab at Stanford University, including deep learning ECGs, analyzing data from wearable devices and application of large language models.

The Nordic region is a strong market for digital health, due to the advanced healthcare systems, technological infrastructure and culture of innovation. With a focus on innovation, prevention, precision medicine and a strong research ecosystem, the Nordics offer fertile ground for digital health solutions to improve healthcare delivery, empower patients, and address the growing burden of chronic diseases. This session is a great opportunity to get to know the Nordic healthcare systems and their possibilities, challenges and why the Nordic market is a great fit for you!  
Speakers: Ervin Alic Innvotion Norway, Nima Jokilaakso Sitra, Marija Ljungdahl Caganic Danish Embassy Sweden & Louise Bengtsson Business Sweden. Moderated by Britta Stenson.

Leveraging high-resolution 3D printing, we are redefining how treatments are administered, enhancing patient comfort, and driving better health outcomes. Our innovative microneedle array platform integrates real-time biomarker monitoring with controlled drug delivery, transforming disease prevention, treatment, and personalized medicine. By replacing traditional blood draws with painless, minimally invasive, and cost-effective 3D-printed microneedle patches, we enable biomarker sampling from interstitial fluid (ISF)—a rich source of molecular information comparable to blood. Beyond diagnostics, this microarray platform enables targeted, needle-free delivery of vaccines and therapeutics into the intradermal space, offering a scalable and adaptable approach to vaccination and treatments. Our goal is to advance precision health by making continuous monitoring and proactive care more accessible, beyond a hospital setting.

Marie and Jonas will describe the unique and close collaboration between Sownder and Carlanderska and how they have improved efficiency and patient care with the use of Sownders system -locus core- that automizes and optimises work-flows.

AI is powerful tool for discovering new facts about the world, many too subtle for human eyes. I’ll give a few emerging examples of how AI-driven insights can help doctors treat patients better, and give researchers new puzzles to crack. This human–AI loop will create a new science of medicine, powered by data and computation, as well as enormous economic value.

Explore the XpanDH project’s key insights into implementing the European Electronic Health Record Exchange Format (EEHRxF) within the European Health Data Space (EHDS). This session highlights actionable strategies to foster interoperability, build trust, and drive digital health innovation across Europe.

Get a glimpse of tomorrow’s healthtech breakthroughs at the Healthtech Startup Pitch Event, where 10 promising startups presents their solutions.

The Bay Area around San Francisco has two world-class universities and hospitals in precision health and AI, as well as many start-ups and several of the largest tech companies in health. How does research in AI in precision health translate to an impact for patient health in the Bay Area? What can Sweden learn from success stories (and failures) of bringing safe and responsible AI in precision health to good use for patients?

The Aquatime Case Study from Aarhus Municipality 

Dataspace4Health (DS4H) in Luxembourg showcases a practical pathway to implementing the European Health Data Space. By addressing critical health data challenges in diabetes and cancer, DS4H demonstrates how secure, compliant data ecosystems can enhance care delivery and advance research. This lecture will explore Luxembourg's current approach to primary and secondary use of data and the Gaia-X framework through real-world healthcare applications.

Get a glimpse of tomorrow’s healthtech breakthroughs at the Healthtech Startup Pitch Event, where 10 promising startups presents their solutions.

The Dorieh Data Platform, developed in collaboration with Harvard, utilizes comprehensive data management tools, including domain-specific languages, to enhance data provenance and regulatory compliance in health research. By enabling detailed lineage tracking and error logging, Dorieh ensures trustworthy and reproducible use of health data. Its application to Medicare data demonstrates its effectiveness, with potential scalability to frameworks like the European Health Data Space, reinforcing modern data governance strategies.