Together, we are making a difference

AIE has recently secured a €2.5M grant from the Romanian Government to launch the VINCI project, recognized with the Seal of Excellence by the European Innovation Council. VINCI is an innovative AI-powered platform designed for early breast cancer detection and monitoring. Leveraging circulating microRNA biomarkers and advanced deep learning techniques, the platform achieves unprecedented diagnostic accuracy of 99-100%. It provides real-time visual monitoring of treatment responses, facilitating timely and personalized therapeutic adjustments. Compatible with various miRNA profiling technologies, VINCI optimizes miRNA-based therapies, significantly enhancing patient outcomes, reducing healthcare costs, and advancing precision medicine.

UNCAN-Connect is revolutionizing cancer research through a decentralized, privacy-preserving data network that enables seamless collaboration across Europe. By integrating AI-driven analytics and federated learning, the project empowers researchers with secure access to diverse biomedical data while ensuring compliance with ethical, legal, and privacy standards. Focused on six major cancer types, including pediatric, pancreatic, and lung cancers, UNCAN-Connect fosters precision medicine advancements and accelerates the development of new diagnostic and therapeutic strategies.

OPADE’s objective is to identify key biomarkers that support the decision-making process of the healthcare providers through the development and commercialisation of an AI (artificial intelligence) / ML (machine learning) -predictive tool. The project focuses on the gut–brain-axis which plays a major role in MDD. 

​

In the heart of innovation and healthcare technology, the MiWear project emerges as a beacon of transformative change, funded by the European Innovation Council. This ambitious initiative, led by QUANTUNE TECHNOLOGIES GmbH alongside a consortium of European experts, is pioneering the development of a wearable device that promises to redefine the way Metabolic Syndrome and its related conditions are monitored.

The DTRIP4H project is pioneering a Decentralized Health Digital Twin Ecosystem, leveraging AI, AR/VR, and federated learning to advance cancer treatment, schizophrenia therapy, drug development, and environmental health. Funded by Horizon Europe, it introduces privacy-preserving digital twins, enabling secure data sharing, real-time simulations, and virtual training, driving breakthroughs in predictive, preventive, and personalized medicine.

This COST Action aims to bridge the gap between groundbreaking scientific research and improved clinical care for brain cancer patients. Key objectives include: establishing a pan-European, multidisciplinary network to advance brain cancer research; fostering education in neuroscience, neuroimaging, genetics, molecular biology, and big data for better diagnosis, prognosis, and treatment; and creating an integrated European brain cancer database and biobank platform to support both research and clinical efforts.