dr.ir. M. Abayazid (Momen)

Soft Robotics

n percutaneous interventions for hepatic tumor treatment, organ motion caused by respiration can lead to inaccurate needle placement hence less effective therapeutic and diagnostic outcome. The aim of this project is to use soft robotics techniques to develop an actuated phantom that mimics respiratory motion in liver for needle insertion procedures.

TERRINET

The European Robotics Research Infrastructure Network

The European Robotics Research Infrastructures Network (TERRINet) project aims at building a world-class network with harmonised services and complementary capabilities where talented researchers from academia and industry worldwide will have access and will be able to explore new ideas and establish personal and joint projects; to get in contact with and be inspired by leading and creative scientists, technologists, experts and industrial representatives; to share information and gain knowledge for boosting their scientific research and potential for technological innovation. The plan of TERRINet is to accomplish its vision by providing not only an organised and well orchestrated set of facilities, but also databases, tools and methodologies which will remain operational after the end of the project, so to provide a long-term service to Robotics science and industry in Europe and worldwide.

IMPACT

Intelligence based iMprovement of Personalized treatment And Clinical workflow supporT

Healthcare faces many challenges like improving patient outcome and working more cost-effectively in the face of growing demand, declining staff capacity and the rapid succession of new clinical and technological developments. The IMPACT project will address these challenges by building on preceding ITEA projects like MEDIATE and BENEFIT to add the next logical step: from evidence-based towards intelligence-based healthcare. To achieve intelligence-based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway. To achieve intelligence-based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway, i.e., from hospitalization to patient release: 1. Personalized treatment planning for optimal treatment of each individual patient and thereby improve patient outcome and cost efficiency. This is only possible when all relevant data available is made available and analyzed intelligently using e.g. Artificial Intelligence, Machine Learning, Deep Learning, etc. 2. Industrialized treatment to reduce preventable medical error and improve predictability and efficiency of clinical procedures. Reproducibility is key which can be accomplished by robotic tools, real-time navigation imaging and strictly adhering to medical guidelines and protocols. 3. Workflow optimization at various levels (hospital, room, table side) to remove waste and inefficiency in the healthcare system. This is done by intelligent data-driven analysis (e.g. Deep Learning) considering all relevant data streams to take the right decision at the right moment concerning the patient, the staff and the equipment. The IMPACT consortium covers all healthcare stakeholders with a good balance between research-oriented partners, technology suppliers, industrial end-product suppliers and clinical end users. This project is part of European consortium that includes industrial, clinical and academic partners from the Netherlands, Sweden and Belgium.

MRI-guided Irreversible Electroporation

Image guided irreversible electroporation of cancerous tissue in a MRI environment