Aridhia Announces Northern Ireland Based Alzheimer's Research Collaboration to Benefit from AnalytiXagility Workspace

AridhiaAridhia, the Edinburgh based clinical informatics company, announced that their AnalytiXagility data platform has been chosen to underpin a three year research programme that was awarded Innovate UK funding via the Neurodegenerative Diseases: Business Models and Big Data competition, following a joint bid by three of Northern Ireland’s leading organisations.

The resulting Moneta Research project - led by Asystec Data Solutions, the University of Ulster and the Clinical Translational Research and Innovation Centre (C-TRIC) - will use the funding to support their research into identifying people most likely to develop Alzheimer's.

The collaborative project will apply 'beyond' state-of-the-art computational analysis and modelling to a large biological and clinical dataset of Alzheimer's patients, and will bring together clinical research skills from the across the University and C-TRIC with analytics expertise from Asystec to collaboratively build predictive models that can be used to estimate the likely probability of currently healthy patients developing a major neurodegenerative disorder like Alzheimer's.

Chris Roche, CEO at Aridhia said, "We are delighted that the collaboration have chosen AnalytiXagility as the platform for Moneta Research. Asystec have made great strides in the last twelve months with the data services they offer. Winning this award in collaboration with the University of Ulster, in such an important area of research, is a real boost for Northern Ireland and demonstates Asystec's continued leadership in bringing data innovation to Ireland."

The project will utilise the new state-of-the-art functional brain mapping facility at the University of Ulster to create an enhanced dataset, based on imaging data, which can then be utilised to increase the accuracy of the predictive model.

Working with such datasets requires a cutting-edge data platform and Aridhia are delighted that AnalytiXagility has been chosen to enable the collaborative analysis of the project’s large complex and heterogeneous datasets, which include demographics, medical history, neuropsychology scores, blood analysis, diagnosis, and neuroimaging data.

Dave Clarke, Chief Data Scientist, at Asystec said, "A big challenge for Alzheimer's research is the integration and analysis of big heterogenous data to holistically understand the disease and the stratification of treatments. We've worked with Aridhia for over a year now and their focus on building a platform that supports collaborative clinical and healthcare research made AnalytiXagility an easy choice for us when selecting a partner to work with."

The hope is that, by through linking among different biomarkers, the resulting predictive models might reveal new disease signatures, relationships and treatments, and encourage a move towards early identification of risk of developing Alzheimer's disease.

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.

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

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...