European and International Projects

To develop the first-ever solution to predict pelvic floor tearing

Assessing the potential of p-cymene as a sustainable aviation fuel

To develop a non-invasive neuromodulation platform to apply closed-loop stimulation protocols synchronized with brain oscillations decoded from the periphery with muscle recordings

To develop novel, non-invasive methods for detecting cardiac and non-cardiac disease in stroke patients using the ballistocardiogram (BCG) signal, allowing for patient monitoring without transfer to clinical settings

To implement for the first time the 5R (Reduce, Recycle, Rethink, Repair, and Reuse) principle from the manufacturing to the final implementation and removal of nano/micro robotic platforms

Converting livestock manure into products for feed and fertilisers

lImitar la expansión, intensidad y gravedad de eventos relacionados con el cambio climático, como incendios forestales o inundaciones

Towards a new diagnosis of Lyme disease through nanotechnology, atomic spectrometry and artificial intelligence.

The Doctoral Network (DN) “RESCUER“ will focus on the training of young researchers (Fellows) in the general area of coastal oceanography, hydraulic and coastal engineering, applied mathematics, and scientific computation.

Establishing a multi-disciplinary network to tackle the design and the early-phase validation of digital biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVAs) and their associated potential for adverse risk assessment, via the joint combination of signal processing, artificial intelligence and non-clinical devices.

ECHOES will capitalize on recent breakthroughs in decoding the spinal outputs to muscles to develop a theoretical and experimental framework to unveil the 'motor null space' in human muscles.

METASTRA will propose new guidelines for the stratification and management of metastatic patients. METASTRA approach is expected to cut the uncertain diagnoses from the current 60% down to 20% of cases. This will reduce patient suffering, and allow cutting expenditure by 2.4B€/year.

eNargiZinc aims at developing new knowledge, technology and commercially exploitable products related to innovative and affordable next-generation EES devices, targeting long-term sustainability through the use of abundant and renewable materials and low environmental-impact production processes.

ENLIGHTEN will seek to develop next-generation electro-optical (EO) sensing devices for operational effectiveness.

The project will develop a new sensing technology from the hardware and up to the cognitive perception and control levels for the next generations of collaborative robots.

The rapid advancement of AI technologies has led the EU to decide on hosting a research environment focused on scientific and ethical excellence, which grows with the cooperation of members from within the EU and the assistance of academia and industry. The EU-funded AI4EUROPE project, in collaboration with AI4EU and other related projects, aims to develop this space by introducing an unbiased, open and cooperative platform from and for the European research community for excellent studies of AI. This platform will provide services ranging from data access, services and tools to cooperation with other researchers. The project will also enable a business model for guaranteeing its continued operation.

ICoMICS aims to develop a novel virtual simulation platform to investigate how therapeutic immune cells (TICs) detect, move and interact with cancer cells and the tumour microenvironment.

3D printing to restore a damaged heart

Mapping of regions of importance is fundamental to interact with the environment, from satellite maps of glaciers to functional maps for GPS navigators. Autonomous vehicles also work by matching visual data to an existing map which needs to be constantly updated and extended. Now,
EndoMapper is developing a similar mapping system to support endoscopic procedures like colonoscopy, tumour biopsy, or even targeted drug delivery. To accomplish their world-first, the team must tackle the challenge of modelling non-rigidity. Unlike roads and byways, the body's
tissues and organs are prone to change as the endoscope moves. Taking advantage of new non-rigid mathematical models and machine learning, endoscopy may soon enter the realm of augmented virtual reality and autonomous navigation.

This project will seek to introduce the process of REMANUFACTURING as part of the business model associated with industries, highlighting the importance of design for the development of products that are more easily repaired and/or recycled.

The EU funded 4D PICTURE project will continue the development of the Metro Mapping methodology to redesign care paths, including novel DSTs. Innovative algorithms and AI-based models incorporating patient experiences and preferences will facilitate treatment decision-making.The objective is to develop data driven DSTs for patients with breast cancer, prostate cancer and melanoma. The novel DSTs will be evaluated to ensure their ability to address medical, social and ethical issues.

VASTO Proof of Concept aims to develop and test an innovative microfluidic-based platform, which allows to evaluate the efficacy of different cell immunotherapy strategies against solid tumours.

The objective of the project is to enable the operation of Kraft recovery boilers in oxy-fuel mode.