MedTech Solutions
MedTech Solutions undertakes collaborative research with partners across Lancashire and beyond.
We support the design and development of medical devices and related interventions, provide insights into the efficacy and effectiveness of such solutions, and accelerates the pace at which these reach healthcare providers to bring benefits to patients and service users.
MedTech Solutions formed in June 2020 bringing together a collective of scientists, engineers and technicians from across the University to help solve problems faced by the NHS and the wider healthcare sector.
Our group includes experts in mechatronics and intelligent machines, additive manufacturing, design and development of medical devices, computer vision and machine learning, psychology, health sciences, and microbial interactions with hosts and surfaces. Our team has extensive experience and a successful track record of grant capture, assisting small and large companies, and working alongside the NHS and other healthcare partners.
Related news
Silentnight's partnership with UCLan through a KTP has helped the company to futureproof its products and identified future stars for the business through collaboration with academia.
Monday 27 February 2023
University’s strengths in business, research, teaching and entrepreneurship all showcased after making it onto shortlists for the ‘Oscars of higher education’
Thursday 1 September 2022
An independent business has enlisted the help of researchers at UCLan to bring one of the first fully biodegradable PPE face visors to market in 6 months.
Thursday 18 March 2021
The University of Central Lancashire (UCLan) has played its part in helping Covid-19 hospital-based patients breathe and sleep more easily. Dr Ambreen Chohan and the MedTech Innovation Group were approached to help the Royal Preston Hospital (RPH) link up with a specialist health...
Tuesday 9 February 2021
A teenager from Lancashire has already seen first-hand the way it will help to turn life-changing ideas into reality.
Tuesday 26 November 2019
A new group has been formed by the University of Central Lancashire (UCLan) to help solve problems faced by NHS trusts in the coronavirus pandemic & long term.
Sunday 17 May 2020
UCLan's assisting with the response to COVID-19 by manufacturing over 200 items of PPE & vital machine parts for staff at Blackpool Victoria Hospital. Read more
Wednesday 13 May 2020
AI Decision Support for Early Cancer Detection in Colonoscopy (AIdDeCo)
The general objective of the AIdDeCo project is to develop methodologies and software tools to advance the state-of-the-art in analysis of colonoscopy data, aiding further development of efficient colonoscopy screening procedures.
UCLan works with Manchester Metropolitan University on project backed by Wayne Rooney
Thursday 18 October 2018
News updates
England footballer backs device created following UCLan and Manchester Metropolitan research
England footballer Harry Maguire has thrown his support behind a new rehabilitative device – created following research by UCLan and Manchester Metropolitan University.
Harry Maguire is the latest professional footballer to support the device, after Wayne Rooney.
Engineering Innovation Centre
Med-Tech Solutions are embedded in the Engineering Innovation Centre (EIC) located on our Preston campus which brings together world-leading research, leading business minds and inspiring teaching in a spirit of collaboration and discovery.
Within the EIC our MedTech Solutions group offers a wide-ranging portfolio of industry engagement opportunities. When you work with us, you have access to specialist staff, state-of-the-art engineering facilities, industry leading technologies and the expertise of our researchers inside a first-class facility.
Associated groups
Computer Vision, Machine Learning and Medical Image Computing (CVML)
The ongoing emphasis is on developing new vision and machine learning algorithms and their transfer to real-world applications. The particular areas of interest include: Bayesian methodology for data modelling, pattern recognition and tracking; statistical shape analysis; deformation modelling for model-based recognition, segmentation and registration; medical imaging; intelligent energy management; data mining; and applications of deep learning.
Allied Health Research unit (AHRu)
The Allied Health Research unit’s work includes research across the health care professions to help answer important and clinically relevant questions, with research spanning the innovation pathway from intervention development and evaluation through to implementation.