Clinical Research & NHS Validation
NHS Glasgow Multiplex Study Journal of Virological Methods 2024
Clinical study on accuracy and efficiency of PCR.AI for quantitative multiplex real-time PCR testing. Proved that PCR.AI not only meets but exceeds expert manual review accuracy with 90% reduction in hands-on time.
Foundational Qualitative Study Journal of Clinical Virology 2019
Landmark study using PCR.AI in parallel to manual methods by NHS Glasgow for over 20,000 real-time PCR results. Demonstrated greater accuracy than double specialist review and 90% reduction in hands-on time.
Multi-Site Validation COVID-19 & International Studies
Kings College NHS: COVID-19 case study automating result verification, overcoming cycler software issues. International validation: University of Washington, DuPont Pioneer, St. Georges NHS Trust - 14,000+ samples, 99.1-100% concordance.
Collaborative Presentations
Our commitment to scientific excellence is demonstrated through peer-reviewed research presented at major international conferences. These studies validate our AI technology through rigorous clinical trials with NHS partners.
Automated Data Interpretation of H1N1/09 (Swine) Influenza Real-time PCR Data
2010 
Health Protection Agency Conference 
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Groundbreaking study demonstrating automated PCR data interpretation for H1N1 influenza detection, achieving 99.8% concordance with manual expert analysis while reducing turnaround time by 75%.
Novel Fully Automated Method for Efficient qPCR Analysis Based on Comparative Cq
2012 American Association for Clinical Chemistry (AACC) Annual Meeting
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Introduction of innovative comparative Cq methodology enabling fully automated qualitative calling in qPCR diagnostics, validated across 10,000+ clinical samples with zero critical errors.
Comprehensive validation study across 5 NHS laboratories demonstrating AI-powered automation maintains 100% sensitivity and specificity compared to manual review while processing 50x more samples.
Utilization of Azure PCR AccuCall Software to Improve Analysis of PCR Data
2015 Clinical Virology Symposium
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Real-world implementation study showing Azure-based PCR analysis platform reduces diagnostic errors by 94% and improves laboratory efficiency, now deployed across 15 NHS trusts.
Collaborate on Research
We actively collaborate with academic institutions and healthcare organizations on clinical validation studies. Contact us to discuss research partnerships.
Contact Research Team
