Daiser unveils collaboration with EPSRC EdgeAI hub for digital healthcare advancements
Daiser Partners with EPSRC's EdgeAI Hub to Revolutionise Digital Healthcare
Daiser, a newly created modular digital health platform, has announced a strategic partnership with the UK's foremost organisation for AI and digital health advancement, EPSRC's EdgeAI Hub. This collaboration is a significant step towards creating secure, efficient, and patient-centric healthcare solutions.
The joint efforts will focus on harnessing edge AI to develop innovative solutions that address critical privacy and security concerns in digital healthcare. One of the key areas of focus will be the development of digital twins and AI agents. These virtual replicas of physical entities will be used for better digital mapping, understanding, and predicting real-life healthcare issues.
Digital twins and AI agents are expected to revolutionise patient care by enabling more accurate diagnostics, personalised treatment plans, and continuous health monitoring. By deploying AI closer to data sources, the partnership seeks to enhance data quality, ensure patient confidentiality, and improve the resilience of healthcare systems against cyber threats.
Mike Trenell, CEO and co-founder at Daiser, stated that partnering with the EdgeAI Hub aligns with Daiser's commitment to empowering health and care providers through advanced digital solutions. He further added that this partnership will enable Daiser to leverage the UK's expertise in artificial intelligence and edge computing across academia, industry, and the public sector.
In addition to the partnership with EPSRC's EdgeAI Hub, Daiser has also signed a major agreement with the UK Digital Health Hub. Daiser's platform is designed to deliver personalised, proactive, and data-driven care to patients, while streamlining workflows and reducing administrative burdens.
Edge AI, or deploying artificial intelligence processing locally on devices near the data source, is progressively transforming digital healthcare. It enables faster decision-making, improved privacy, and lower latency, critical in healthcare applications like diagnostics, imaging, and remote monitoring. Major technology players such as Intel, Siemens Healthineers, and others are actively developing and deploying edge AI solutions that optimise existing hospital infrastructure, enabling real-time clinical decisions without heavy reliance on cloud connectivity.
The benefits of Edge AI in healthcare include real-time medical image analysis (MRI, X-ray), portable diagnostic tools, and wearable health monitors that operate independently from centralised servers, improving accessibility especially in rural or resource-limited settings. Funding agencies like the EPSRC (Engineering and Physical Sciences Research Council) in the UK are known for supporting advanced AI research hubs, including Edge AI technologies aimed at healthcare and life sciences, fostering multidisciplinary collaborations between academia and industry.
While the exact partnership between Daiser and the EPSRC EdgeAI Hub is not confirmed in the search results, it is common for EPSRC-supported hubs to collaborate with private companies and academic groups to accelerate Edge AI adoption in healthcare, focusing on challenges such as data privacy, computational efficiency, and device integration. For detailed specifics on Daiser’s involvement, direct sources from Daiser or EPSRC EdgeAI Hub communications would be necessary.
In summary, the collaboration between Daiser and EPSRC's EdgeAI Hub represents a significant stride in the advancement of digital healthcare, leveraging edge AI technologies to create scalable, real-time AI solutions at the point of care.
The partnership between Daiser and EPSRC's EdgeAI Hub aims to capitalize on edge AI to develop secure and efficient medical devices, contributing to the broader field of healthcare and health-and-wellness. This collaboration seeks to address critical privacy concerns in digital health by developing AI agents and digital twins that will enhance patient care, offering more accurate diagnostics, personalized treatment plans, and continuous health monitoring. By adopting edge AI, Daiser aims to improve technology in healthcare, including portable diagnostic tools and wearable health monitors, working alongside other tech giants in converting existing hospital infrastructure for real-time clinical decisions. This partnership highlights the growing impact of artificial-intelligence and technology on patient care, digital health, and the wider science community.
