Daiser announces collaboration with EPSRC on EdgeAI hub, aiming to boost digital health technologies
In a groundbreaking move, Daiser, a newly created modular digital health platform, has partnered with the Engineering and Physical Sciences Research Council (EPSRC) EdgeAI Hub. This collaboration is focused on addressing unique privacy and security challenges in digital healthcare.
Since its launch in 2024, Daiser has positioned itself at the forefront of digital healthcare innovation. The partnership aims to apply research in edge AI to real-world healthcare challenges, with the ultimate goal of developing secure, efficient, and patient-centric healthcare solutions.
By leveraging edge AI technologies, the partnership seeks to harness innovative solutions that enhance data quality, ensure patient confidentiality, and improve the resilience of healthcare systems against cyber threats. The integration of digital twins and AI agents in Daiser's platform is expected to revolutionize patient care.
The synergy between edge AI and federated learning within digital twin ecosystems ensures secure, low-latency, scalable, and collaborative AI-driven digital twin development. Federated learning allows AI models for digital twins to be trained collaboratively across multiple distributed healthcare data sources without sensitive patient data ever leaving local sites. This approach maintains data privacy and enables continuous improvement of digital twin models aligned with strict privacy regulations.
Edge computing complements this by processing data locally near its source, minimizing data transmission, reducing latency, and supporting real-time responsiveness necessary for critical healthcare applications. This framework not only meets the rigorous demands of healthcare data protection but also enhances operational efficiency and patient safety through timely insights and predictive monitoring.
Professor Rajiv Ranjan, Director of the EdgeAI Hub, expressed support for the collaboration with Daiser, stating that it aligns with the Hub's mission to unite the UK's expertise in artificial intelligence and edge computing across academia, industry, and the public sector. Mike Trenell, CEO and co-founder at Daiser, echoed this sentiment, stating that the partnership aligns with Daiser's commitment to empowering health and care providers through advanced digital solutions.
This collaboration marks a significant step towards developing digital healthcare solutions that are privacy-preserving, secure, and highly responsive. These technologies may enable more accurate diagnostics, personalized treatment plans, and continuous health monitoring, ultimately improving patient outcomes and the overall efficiency of healthcare systems.
[1] [Source for federated learning and edge computing benefits] [2] [Source for ethical considerations in healthcare systems] [3] [Source for the synergy between edge AI and federated learning]
- Daiser's partnership with the EPSRC EdgeAI Hub, utilizing edge AI technologies, aims to develop efficient, patient-centric medical devices, enhancing data quality, ensuring patient confidentiality, and strengthening the resilience of healthcare systems against cyber threats.
- By integrating AI agents and digital twins into its platform, Daiser envisions revolutionizing patient care, providing a high-quality health-and-wellness experience backed by science and digital health innovation.
- The collaboration between Daiser and the EdgeAI Hub leverages both edge computing and federated learning, ensuring secure, low-latency, scalable, and collaborative AI-driven development of digital health solutions, adhering to strict privacy regulations while fostering artificial intelligence and health technology advancements.
