Elevating the future of cancer care with alpha theranostics
Project factsheets
Learn more about the projects supported by IHI as well as the Innovative Medicines Initiative (IMI).
Displaying 23 projects and 0 programmes
Real-world implementation, deployment and validation of early detection tools and lifestyle enhancement
Clinical impact through AI-assisted MS care
Combining diagnostic data and interventional approaches for futureproof cardiology care
European action for the diagnosis of early non-symptomatic type 1 diabetes for intervention
GRIP on MASH: global research initiative for patient screening on MASH
Guiding multi-modal therapies against MRD by liquid biopsies
Harmonised approach to early feasibility studies for medical devices in the European Union
Individualised care from early risk of cardiovascular disease to established heart failure
Integration of heterogeneous data and evidence towards regulatory and HTA acceptance
Increasing lutetium production, while leveraging metabolic imaging to enhance theranostics effectiveness
Imaging and advanced guidance for workflow optimization in interventional oncology
Framework to IMPROVE the integration of patient generated health data to facilitate value based healthcare
A biomarker-based platform for early diagnosis of chronic liver disease to enable personalized therapy
Patient lifestyle and disease data interactium
Prediction of Alzheimer’s disease using an AI driven screening platform
Precision medicine platform in neurodegenerative disease
Improving patient outcomes and reducing cognitive load of clinical staff in intensive care through medical-device interoperability and an open and secure IT ecosystem
Synthetic healthcare data governance hub
Synthetic data generation framework for integrated validation of use cases and AI healthcare applications
Theranostics ecosystem for personalised care
Unleashing a comprehensive, holistic and patient centric stroke management for a better, rapid, advanced and personalised stroke diagnosis, treatment and outcome prediction
Developing and implementing virtual control groups to reduce animal use in toxicology research