Daiser unveils partnership with EPSRC EdgeAI hub for the advancement of digital healthcare
In a groundbreaking move, Daiser, a modular digital health platform, and the Engineering and Physical Sciences Research Council (EPSRC) EdgeAI Hub have joined forces to revolutionize digital healthcare. This collaboration aims to harness edge AI technologies and integrate them with digital twins to create secure, adaptive, and high-fidelity digital twins.
The mission of the EPSRC's EdgeAI Hub is to foster a collaborative research community that enhances data quality and decision accuracy across various time-critical applications, including healthcare. By partnering with Daiser, the EdgeAI Hub seeks to leverage edge AI technologies to create digital twins and AI agents that can learn, adapt, and provide valuable insights.
One of the key aspects of this approach is edge AI for real-time processing. This technology allows data processing and initial decision-making to happen locally on devices such as medical sensors or wearables. This reduces latency, enables immediate feedback, and enhances responsiveness critical to healthcare scenarios like predictive monitoring and surgical assistance.
Another crucial element is federated learning for secure collaboration. This method enables multiple healthcare sites to collaboratively train AI models without sharing sensitive raw patient data. Only aggregated updates are exchanged, preserving patient privacy while allowing digital twins to be continuously updated and improved with diverse real-world data.
The goal of integrating digital twins and AI agents into Daiser's platform is to deliver personalized, proactive, and data-driven care to patients. These models simulate patients' physiological states dynamically and can be used for personalized treatment planning, continuous monitoring, and intervention in outpatient settings. Combining cloud-native platforms with edge AI enhances scalability and accessibility, especially in resource-constrained environments.
The collaboration also aims to improve clinical decision support. The integration facilitates simulations of treatment regimens in silico, helping clinicians tailor therapies dynamically based on real-time data streams, such as physiological monitoring from wearables.
Professor Rajiv Ranjan, Director of the EdgeAI Hub, believes this partnership is a significant step toward developing secure, efficient, and patient-centric healthcare solutions. The joint efforts are expected to lead to the development of innovative solutions that address critical privacy and security concerns in digital healthcare, enhancing data quality, ensuring patient confidentiality, and improving the resilience of healthcare systems against cyber threats.
In addition to this collaboration, Daiser has been appointed as a strategic partner to the UK's foremost organization for AI and digital health advancement. The organization has also signed a major agreement with the UK Digital Health Hub and has been selected for Google's AI accelerator programme. This partnership represents a powerful paradigm in digital healthcare, promising faster, safer, and more efficient personalized care by harnessing edge AI's immediacy with digital twins' precision and adaptability, while ensuring compliance with privacy and regulatory standards.
This collaboration is expected to revolutionize patient care by enabling more accurate diagnostics, personalized treatment plans, and continuous health monitoring. The goal is to create better medical devices by entering the fourth dimension, according to recent news in "Medical Device Manufacturing News". The partnership will investigate ways to leverage edge AI technologies to develop digital twins and AI agents that can learn, adapt, and provide valuable insights, ultimately transforming the landscape of digital healthcare.
- This collaboration between Daiser and the EdgeAI Hub aims to utilize edge AI technologies to create digital twins and AI agents that can learn, adapt, and offer valuable insights for patient care.
- By incorporating federated learning, multiple healthcare sites can collaborate securely to train AI models and update digital twins without sharing sensitive patient data.
- The integration of digital twins and AI agents into Daiser's platform is intended to deliver personalized, proactive, and data-driven care to patients, including personalized treatment planning, continuous monitoring, and intervention.
- The partnership is expected to advance clinical decision support by simulating treatment regimens in silico and helping clinicians tailor therapies based on real-time data streams from wearables.
- The emphasis on edge AI for real-time processing and cloud-native platforms is expected to enhance scalability and accessibility, particularly in resource-constrained environments.
- Through this collaboration, Daiser aspires to revolutionize digital healthcare by improving medical devices, providing more accurate diagnostics, and transforming the landscape of healthcare with digital twins, AI agents, and artificial intelligence.
