BIOTECHNOLOGY
One recent project involves a 3d printed microbioreactor
NEW HEALTHCARE
n February 2017, Teesside University established the Healthcare Innovation Centre (HIC) in collaboration with TWI, a leading independent
research and technology organisation. T e centre’s focus is on the development of new healthcare technologies. It works collaboratively with end-users, industrial and practice partners to support the adoption of interventions, tools and therapies for health and social care, to improve quality of life and create economic growth. T e centre draws on the existing
TECHNOLOGIES I
Professor Zulf Ali explains how Teesside University and TWI are creating advanced research and technology capability to improve our quality of life
and wellbeing. T e work the team is undertaking spans physical interventions (assistive technologies and prostheses), smart systems and advanced therapies (diagnostics and bioprocessing) and digital health (AI, machine learning, augmented reality and digital twins). T ese areas are underpinned by key capabilities in advanced manufacturing, advanced materials, disruptive sensing systems, ICT, medical devices and photonics. T e following current (‘live’) projects demonstrate the centre’s expertise.
strengths of both the University and TWI and the end goal is to create advanced research and technology capability that is adopted by industry, thus makes a signifi cant impact on people’s lives
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www.scientistlive.com
ICHAIR: AI-BASED HEALTHCARE SYSTEM FOR ELDERLY PEOPLE T is project aims to create a modular telemedicine smart wheelchair that enables elderly and/or disabled patients to maintain
independence but remain connected. T e system records and transmits information related to the person’s physical location, status parameters as well as vital bio-signs in real time. T e autonomous wheelchair uses a navigation and positioning system to record the location of the start point and running path. Users are able to override the moving path and the system has the ability to recalculate the route back to the destination. Data from sensors attached to the wheelchair of multi-parameter vital signs – including oxygen saturation, blood pressure, respiration and body temperature – is collected, compressed and uploaded to the cloud for viewing. T e data is analysed in real time using AI algorithms to diagnose any associated
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