Aridhia Partners with NHS, University of Glasgow and Philips Healthcare on Unique Brain Injury Study

AridhiaAridhia Informatics today announced a two-year funded collaboration with NHS Greater Glasgow and Clyde, the University of Glasgow and Philips Healthcare. The Edinburgh-based clinical informatics company will provide its data science expertise and AnalytiXagility platform to the study which will develop technology enabling the analysis of high frequency neurological data to better inform the diagnosis and treatment of patients with traumatic brain injuries.

Funding for the study has been awarded by Innovate UK and follows the success of an earlier pilot project which saw Aridhia and NHS Greater Glasgow and Clyde reduce the time taken to process sample data from patients with traumatic brain injuries from 16 hours to 48 minutes and demonstrated the clear advantages of using advanced analytics in a clinical setting.

Building on the pilot, this expanded project will analyse live streams of vast amounts of physiological and clinical data collected in a real-time clinical setting, before translating it into clinically relevant information to allow rapid treatment decisions to be made at the bedside. By employing advanced data processing techniques, AnalytiXagility will enable previously unavailable models and algorithms to inform evidence-based decision making and in the future impact patient outcomes.

The World Health Organisation predicts that by 2020 traumatic brain injuries will be a major cause of death and disability. In Europe alone the cost of managing these injuries already exceeds €100 billion annually.

As part of the project, Aridhia will create an app to enable clinical teams in the neurointensive care unit to select which algorithm to run on a particular patient’s data, supporting a rapid and personalised approach to treatment. The app will then translate the results of the analysis back into the clinical setting to inform the best course of care for individual patients.

The collaboration draws on the expertise of a multidisciplinary team of scientists and clinicians led by Dr Laura Moss, a Research and Development Healthcare Computer Scientist with NHS Greater Glasgow and Clyde's Department of Clinical Physics and Bioengineering. The University of Glasgow's Department of Anaesthesia, Pain & Critical Care will offer clinical input to the project, while Philips' bedside monitoring equipment will provide the patient data that will be analysed.

Dr Moss said: "We expect this project to show that it is possible to analyse huge volumes of real-time neurological data and put the results back into clinical practice in such a way that will improve patient treatment. This could really revolutionise clinical decision-making around head injuries because, until now, this information has not been routinely available to clinicians."

Chris Roche, CEO at Aridhia stated: "Traumatic brain injuries are a growing public health issue and it is essential that we take an innovative approach to improving the diagnosis and treatment of these very serious injuries. This project demonstrates the importance of big data science in the clinical setting and the capability of Aridhia's AnalytiXagility platform in providing a high performance infrastructure to analyse vast amounts of data in a real-time environment."

The project will use anonymised data from patients in the neurointensive care unit at the Institute of Neurological Sciences, Glasgow, part of the new South Glasgow University Hospital, one of the biggest and most technologically advanced campuses in Europe.

About Aridhia Informatics
Aridhia is a world-leading clinical and translational informatics company developing technology and capability that accelerates the translation of precision medicine and biomedical research into clinical practice. Operating internationally on projects in Australia, England, Scotland and Kuwait, Aridhia works closely with governments, health organisations, research collaborations and academic institutions.

Aridhia was co-founded in 2007 by Dr David Sibbald a software entrepreneur, philanthropist and Vice-President of UK UNICEF, the United Nations children's fund, and Professor Andrew Morris, Chief Scientist for Health in Scotland and Professor of Medicine, Director of the Institute of Population Heath Sciences and Informatics, and Vice-Principal of the University for Data Science at the University of Edinburgh.

Based in Edinburgh and Glasgow, Aridhia has a 60-strong multidisciplinary team of data scientists, information governance specialists, computer scientists, software developers and healthcare experts.

Most Popular Now

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Digital ECGs at Barts Health: A High-Imp…

Opinion Article by Dr Krishnaraj Sinhji Rathod, consultant in interventional cardiology, Barts Health NHS Trust. Picture the moment. A patient in an ambulance, enroute to hospital with new chest pain. Paramedics...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

Study Sheds Light on Hurdles Faced in Tr…

Implementing artificial intelligence (AI) into NHS hospitals is far harder than initially anticipated, with complications around governance, contracts, data collection, harmonisation with old IT systems, finding the right AI tools...

Using Deep Learning for Precision Cancer…

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in Nature Communications, the...

New AI Approach Paves Way for Smarter T-…

Researchers have harnessed the power of artificial intelligence (AI) to tackle one of the most complex challenges in immunology: predicting how T cells recognize and respond to specific peptide antigens...

Study Used AI Models to Improve Predicti…

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the...

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...