Early diagnosis and detection – Page 6 – Birmingham Health Partners

Birmingham spinout secures £800k for point-of-care diagnostics platform

Written by Louise Stanley on 24/02/2021. Posted in Early diagnosis and detection.

Birmingham-based Linear Diagnostics Ltd has secured £800,000 from the Midlands Engine Investment Fund (MEIF) and other investors in the company’s second round of funding, which will enable the company to commence the development of the hardware platform for its tests.

The finance will facilitate the ongoing development of the company’s high-speed platform technology for point of care diagnostics. The funding package includes backing from MEIF Equity Finance, managed by venture capital firm Midven, the University of Birmingham and the UKI2S Fund. The UK Future Fund matched the investment from the initial investors.

Linear Diagnostics was founded in 2011 by Professor Tim Dafforn and Dr Matt Hicks as a spinout from BHP founder-member the University of Birmingham’s School of Biosciences. Its diagnostics technology is based on research in linear dichroism, patented by University of Birmingham Enterprise, which uses polarised light to detect the presence of molecules in solutions.

The company has shown strong technical progress since its first investment, achieving clinical levels of accuracy in tests within its lab environment. Initially focusing on sexually transmitted infections (STIs), Linear Diagnostics is developing a rapid test for chlamydia and gonorrhoea. The test will be capable of detecting multiple infections in the same sample in around 15 minutes by labelling each infection indicator with a different coloured dye.

The World Health Organization estimates that worldwide, more than one million STIs are acquired every day. As most STIs show no or mild symptoms, point of care diagnostics will enable healthcare professionals to provide efficient, on-the-spot treatment, which will help reduce onward transmission and lower the risk of antibiotic resistance.

Brendan Farrell, Chairman & CEO of Linear Diagnostics, said: “We are very grateful to our existing investors for their continued support and to the UK Future Fund for providing matched funding. The funds received will enable Linear Diagnostics to develop a prototype single use cartridge and reader for our duplex test for chlamydia and gonorrhoea.”

Roger Wood, Director at Midven, said: “The requirement for rapid and accurate point of care diagnostics has been brought into sharp focus by the COVID-19 pandemic. There are many other disease areas that could equally benefit from this approach and Linear Diagnostics is making excellent progress with the development of its testing platform. This funding round will enable the company to continue its good work at pace.”

Oliver Sexton, Director at UKI2S, said: “Linear Diagnostics’ platform will be able to identify the presence or absence of genetic biomarkers in under 20 minutes. Such rapid gene-based diagnosis is transformative for diseases and disorders that respond to extremely rapid intervention or require diagnosis outside access to centralised laboratory services”

Ken Cooper, Managing Director at the British Business Bank, said: “This latest investment shows how MEIF Equity Finance can be used for further rounds of funding by businesses at different stages of their growth journey. It’s an example of how MEIF and the Government’s Future Fund are helping to support the continued development of innovative businesses across the Midlands, which is also likely to have a significant public health impact.”

Tim Pile, Chair of the Greater Birmingham and Solihull Local Enterprise Partnership, said: “It is hugely exciting to hear that Linear Diagnostics Ltd has secured MEIF funding. Given the challenges presented by Covid-19, it is critical we do what we can to advance our regional offering in diagnostic technology. We welcome this investment which will ensure better outcomes for patients and opportunities for businesses. GBSLEP is committed to helping create opportunities in the health tech sector which we see as a priority growth area in the region.”

The Midlands Engine Investment Fund project is supported financially by the European Union using funding from the European Regional Development Fund (ERDF) as part of the European Structural and Investment Funds Growth Programme 2014-2020 and the European Investment Bank.

AI and advanced imaging could diagnose childhood brain tumours without biopsy

A study led by Birmingham Health Partners member organisations has found that combining advanced imaging and artificial intelligence techniques can accurately classify the characteristics of common types of childhood brain tumours – paving the way for more rapid non-invasive diagnosis.

Brain tumours in a particular part of the brain, called the posterior fossa, are the largest cause of death from cancer in children. There are three main types of tumour that occur in the posterior fossa, and being able to characterise them quickly and efficiently can be challenging without confirmation via a biopsy, which is invasive.

Now a new study, carried out in collaboration with researchers from WMG at the University of Warwick and published in Scientific Reports, has found tumour diagnostic classification can be improved by using an advanced and non-invasive imaging technique known as ‘diffusion weighted imaging’ in combination with machine learning (AI). This means that the tumour can be characterised and treated more efficiently.

Diffusion weighted imaging involves the use of specific advanced MRI sequences, as well as software that generates images from the resulting data which uses the diffusion of water molecules to generate contrast in MR image. Experts can then extract a ‘map’ which can be analysed to give more information about the tumour.

The study involved 117 patients at five primary treatment centres across the UK, with images taken using machines across 12 hospitals. The images were analysed by both an experienced radiologist and an expert scientist in paediatric neuroimaging. Analysis from the images were fed to AI algorithms to successfully discriminate the three most common types of paediatric posterior fossa brain tumours, non-invasively.

Professor Andrew Peet, NIHR Professor in Clinical Paediatric Oncology at BHP founder-members the University of Birmingham and Birmingham Women’s and Children’s NHS Foundation Trust, said: “When a child comes to hospital with symptoms that could mean they have a brain tumour, that initial scan is such a difficult time for the family and understandably they want answers as soon as possible.

“Here we have combined readily available scans with artificial intelligence to provide high levels of diagnostic accuracy that can start to give some answers.

“Previous studies using these techniques have largely been limited to single expert centres. Showing that they can work across such a large number of hospitals opens the door to many children benefitting from rapid non-invasive diagnosis of their brain tumour.

“These are very exciting times and we are working hard now to start making these artificial intelligence techniques widely available.”

Professor Theo Arvanitis, Director of the Institute of Digital Health at WMG, University of Warwick, and one of the authors of the study, added: “If this advanced imaging technique, combined with AI technology, can be routinely enrolled into hospitals it means that childhood brain tumours can be characterised and classified more efficiently, and in turn means that treatments can be pursued in a quicker manner with favourable outcomes for children suffering from the disease.”

The research was supported by Cancer Research UK, EPSRC Cancer Imaging Programme at the Children’s Cancer and Leukaemia Group, the Medical Research Council, National Institute for Health Research (NIHR), Children’s Research Fund, Poppyfields and Help Harry Help Others.