M-SParc companies join forces to tackle Johne's disease using AI

Diagnostig and 42able secure Innovate UK support to explore earlier detection and improved disease management for cattle farmers.

Two companies based at M-SParc have launched a new collaboration using artificial intelligence (AI) to improve the detection and understanding of Johne’s disease, one of the cattle industry’s most persistent health challenges. Diagnostig Ltd, a diagnostics company focused on advancing animal health, is partnering with AI and data analytics specialist 42able as part of an Innovate UK-funded project under HERALD (Health Enhancement through Rapid Assessment of Livestock Diseases).

L-R: Prof Mike Baird (Diagnostig), James Finney (42able), Dr Dafydd Thomas (Diagnostig) and Dr Ben Taylor (42able)

Johne’s disease is a chronic infectious condition affecting cattle and other ruminants. It is caused by Mycobacterium avium subspecies paratuberculosis (MAP), a bacterium that has been the subject of ongoing research into its potential role in Crohn’s disease. The disease develops slowly and can remain undetected for years, leading to reduced productivity, weight loss and significant economic losses for farmers. While studies suggest the disease is widespread across UK cattle herds, current testing methods often only identify infection in its later stages.

Diagnostig is developing a novel diagnostic approach designed to detect Johne’s disease much earlier than current methods, creating new opportunities for disease management and control.

Professor Mark Baird, Founder and Managing Director of Diagnostig, said:

Johne’s disease remains one of the most challenging infections facing the cattle industry because infected animals can remain undetected for years. Our research is focused on changing that. By combining innovative diagnostic science with advanced AI capabilities, we have an opportunity to gain new insights into how the disease develops and spreads. The support from Innovate UK allows us to accelerate this work and explore new approaches that could ultimately improve outcomes for farmers.

The collaboration will combine Diagnostig’s diagnostic research with 42able’s expertise in AI, predictive analytics and pattern recognition. By analysing large volumes of research and farm data, the project will explore how disease risks can be identified earlier and uncover links between animal health, genetics and farm environments that may not be visible through conventional analysis.

Researchers will also investigate potential connections between infected animals and previous generations, helping to build a deeper understanding of how the disease develops and spreads within herds.

James Finney, Founder and CEO of 42able, said:

AI is exceptionally good at identifying patterns that would otherwise remain hidden within large and complex datasets. Working with Diagnostig allows us to apply those capabilities to a challenge with significant implications for animal health and farm productivity. We’re excited to support research that could lead to earlier intervention and more effective disease management.

Louise Jones, National Manager for Innovate UK, said:

Projects like this demonstrate how innovation in AI, diagnostics and data can be applied to long-standing challenges in agriculture. By bringing together cutting-edge diagnostics and advanced analytics, this collaboration has the potential to enable earlier detection of Johne’s disease and support better decision-making for farmers. Innovate UK is pleased to support work that aligns with the UK’s Industrial Strategy by strengthening animal health, improving productivity, and delivering real benefits to the livestock sector.”

The project highlights the growing role of AI in agricultural innovation, bringing together expertise in veterinary science, diagnostics and advanced analytics. It also demonstrates the strength of the North Wales innovation ecosystem, with Diagnostig emerging as a Bangor University spin-out and both Dr Ben Taylor and 42able founder James Finney among the University’s graduates.

As the research progresses, Diagnostig and 42able will continue refining their models and analysing new data to support the development of practical tools that could benefit farmers, veterinarians and the wider livestock industry.

If you’re working in agriculture, food production, data, AI or technology, join M-SParc’s Agritech.cymru to hear about future funding opportunities, collaborative projects and industry events.

To find out more, contact Olwen – olwen@m-sparc.com.

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Tom Burke

Digital Innovation Manager

tom@m-sparc.com

Tom used to work at the KFC in his hometown of Colwyn Bay before it mysteriously burned down. He then spent several years “on the lam” in East Germany, where he worked as an animator in Berlin. When the wall fell, Tom came home.

He enjoys climbing and hates ice-skating.