Partnership between Daiser and EPSRC's EdgeAI hub established, aiming to further revolutionize digital healthcare technologies.
Since its launch in 2024, Daiser has been a pioneer in digital healthcare innovation. Now, the company is taking a significant step forward with a partnership with the Engineering and Physical Sciences Research Council (EPSRC) EdgeAI Hub. This collaboration aims to harness edge AI technology to develop innovative solutions that address privacy and security challenges in digital healthcare.
Digital Twins and AI Agents at the Forefront
Current developments in healthcare are increasingly focused on digital twins (DTs) and AI agents to enable personalized, predictive, and efficient medical care. Digital twins are virtual replicas of patients that use real-time data and AI to simulate biological processes and forecast health outcomes. Key areas include chronic disease management, surgical training, mental health modeling, and home care integration by continuously updating a patient's digital twin with wearable and sensor data.
Leveraging Edge AI for Real-Time Decision-Making
The partnership between Daiser and the EPSRC EdgeAI Hub emphasizes leveraging advanced AI at the edge (close to data sources, like medical devices) to augment these digital twin capabilities. This supports real-time decision-making, reduces latency in health predictions, and enhances personalized treatment plans without relying solely on cloud connectivity, which is critical for healthcare settings.
Benefits of Digital Twins and AI Agents in Healthcare
The benefits of using digital twins and AI agents in healthcare are numerous. They include personalized medicine, predictive analytics, surgical and treatment planning, resource optimization, and device and drug development.
Personalized medicine, for example, uses digital twins to create tailored therapeutic strategies based on individual genetic, clinical, and lifestyle data. This improves treatment precision and reduces adverse reactions. Predictive analytics enables AI models integrated into digital twins to forecast disease progression and treatment responses, enabling proactive interventions.
Surgical and treatment planning benefits from virtual practice environments that help surgeons rehearse complex procedures and optimize treatment pathways, improving outcomes and preparation. Resource optimization extends beyond individual care to hospital resource management, public health surveillance, and epidemiology, enhancing system-wide efficiency.
Device and drug development also benefits from virtual testing of medical devices and pharmaceuticals, which accelerates innovation and reduces costs by simulating performance and effects before physical trials.
A Paradigm Shift in Healthcare
This partnership represents a significant step towards a paradigm shift from reactive to predictive, personalized healthcare. It is expected to improve patient outcomes, operational efficiencies, and medical innovation. However, challenges remain in data privacy, computational demands, model validation, and regulatory compliance, requiring interdisciplinary collaboration among healthcare providers, AI researchers, and policymakers.
A Collaborative Approach
The EPSRC's EdgeAI Hub aims to unite the UK's expertise in artificial intelligence and edge computing across academia, industry, and the public sector. The joint efforts will focus on creating digital twins and AI agents that can learn, adapt, and provide valuable insights to healthcare professionals, researchers, and patients.
Daiser's platform is designed to deliver personalized, proactive, and data-driven care to patients while streamlining workflows and reducing administrative burdens. The technologies developed will ensure data privacy and security throughout the process. 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.
A Step Towards Secure, Efficient Healthcare
Professor Rajiv Ranjan, Director of the EdgeAI Hub, expressed that the partnership allows them to apply research in edge AI to real-world healthcare challenges. Mike Trenell, CEO and co-founder of Daiser, stated the partnership aligns with their commitment to empowering healthcare providers with advanced digital solutions.
This collaboration between Daiser and the EdgeAI Hub is a significant step towards developing secure, efficient, and patient-centric healthcare solutions. It is expected to revolutionize patient care by enabling more accurate diagnostics, personalized treatment plans, and continuous health monitoring. The joint efforts will foster a collaborative research community that enhances data quality and decision accuracy across various time-critical applications, including healthcare.
- Leveraging the advanced edge AI technology from the EPSRC EdgeAI Hub, Daiser aims to advance digital health solutions, particularly with digital twins and AI agents, to provide personalized, predictive, and efficient patient care.
- The collaboration between Daiser and the EdgeAI Hub intends to create digital twins and AI agents that can learn, adapt, and provide valuable insights to healthcare professionals, researchers, and patients, ultimately enhancing the quality of health-and-wellness and addressing various medical-conditions.
- By developing innovative therapies-and-treatments based on science and technology, the partnership aims to shift healthcare from reactive to predictive and personalized, improving patient outcomes, operational efficiencies, and promoting medical innovation.
- Within the realm of health-and-wellness, artificial-intelligence, digital health, and medical-conditions, this partnership signifies a commitment to ensuring secure, efficient, and patient-centric healthcare that prioritizes the privacy and security of sensitive health data.
