AI in Diagnostics
How AI, machine learning and foundation models will reshape diagnostic systems, laboratory workflows and the role of the lab scientist.
AI technologies are creating new opportunities for diagnostic companies to unlock deeper clinical insights, automate laboratory workflows and develop differentiated diagnostic platforms.
From advanced data interpretation to intelligent automation and AI-enabled assay development, new technologies are redefining how diagnostic systems are designed, deployed and used in the laboratory.
These developments present both an opportunity and a challenge. AI can unlock new clinical insights, streamline laboratory workflows and create differentiated diagnostic platforms. But integrating AI into regulated diagnostic systems requires careful consideration of technical architecture, usability, regulatory strategy and the evolving role of the lab scientist.
AI and the future of Diagnostics
AI is moving beyond research and into real diagnostic systems. This e-book explores how machine learning, foundation models and intelligent automation will change how diagnostic platforms are developed and used.
It examines the technical opportunities, regulatory challenges and strategic decisions facing diagnostic companies looking to harness AI to build differentiated diagnostic products.
Key takeaways
- Where AI can create real value in IVD systems
- How foundation models could reshape diagnostic workflows
- The future role of laboratory scientists in AI-enabled labs
- Key technical and regulatory challenges for AI-driven diagnostics
Get your copy of the e-book Dr DAIsy - Anatomy of an artificial doctor.
Can you beat AI at diagnosis?
How do you choose the best diagnostic test when every test is imperfect?
Diagnose Who? is an interactive game created by our team to explore this challenge. Inspired by the classic Guess Who?, the game asks you to identify a target individual by selecting diagnostic “tests”, each with its own sensitivity, specificity, failure rate and cost.
Your goal is to reach the correct diagnosis using the fewest questions and the lowest possible cost. But just like in real-world diagnostics, test results aren’t always reliable, making the decision about the next best test critical.
While you play, AI-powered bots are attempting the same challenge using different strategies to optimise their decisions.
Can you beat the AI-bots playing against you and find the target faster and cheaper?
Are diagnostic platforms ready for the AI era?
AI could fundamentally change how diagnostic platforms are designed, developed and used, but where will it create the greatest impact?
As diagnostic data becomes more complex, machine learning and foundation models are opening new possibilities for smarter diagnostic platforms, automated laboratory workflows and deeper clinical insight.
But where will AI create the greatest impact, and what does it take to integrate it into real diagnostic systems?
In this e-book, our experts explore how AI in diagnostics could reshape the development of next-generation IVD platforms, and the technical, regulatory and usability challenges diagnostic companies must address to make it work in practice.
Learn where AI can create real value in diagnostic systems.
Symptom checkers are only the start: building an AI-based diagnostic system
AI companions can already reduce the clinical workload, but could we build a diagnostic system that can take full advantage of AI and computation to deploy diagnostics more efficiently and guide real-world healthcare? What would that look like? And what would that mean for the diagnostics industry?
Explore how AI will extracting more information, and more value, from each diagnostic test.
Could AI become the world’s diagnostic expert?
Diagnostics is not limited by the tests we have. It is limited by how we use them.
Clinicians are routinely faced with a complex question: what is the best next test for this patient? The answer depends on far more than accuracy alone. Cost, turnaround time, patient context, and system constraints all play a role. This makes optimal decision-making incredibly difficult in practice.
We explore how AI could be applied not to improve individual tests, but to guide entire diagnostic pathways. Giles and Jamie introduce the concept of Dr DAIsy, a system designed to use patient data, probabilities, and real-world constraints to identify the most informative next step in diagnosis.
Watch the full video to explore how this approach could reshape diagnostics, improve efficiency, reduce unnecessary testing, and enable better patient outcomes.
Meet us at
Our areas of focus:
In Vitro Diagnostics
Our approach and capabilities
We deliver across the entire life of a project, from opportunity discovery to production engineering. Discover how our interdisciplinary teams of experts collaborate to tackle the toughest product development challenges.
Our campus and facilities
Our award-winning campus has been designed with a clear vision. To create space which can suport our people and our clients as we develop and deliver the very best technology solution.
Software capability at TTP
Engaged in all stages of software and product development, our software capability at TTP covers the full spectrum—from in-depth analysis and system architecture to prototype design, implementation, and test development.
Manufacturing capability at TTP
Working seamlessly with our development teams, we take clients' products through prototype builds, clinical trials, pilot manufacture and more. Using TTP Manufacturing reduces uncertainty, risk and time to market for our clients.
Meet some of the team
Jamie Sykes Macleod
Giles Sanders
Dan Gare
Talk to us about your next project
We help clients with all stages of their most complex and challenging technology and product development projects.
If you're considering the next steps along your innovation journey, why not get in touch?
