Half a million
patients assessed for cancer


















































































C the Signs' Impact
C the Signs has been featured in leading journals and at international cancer symposia including ASCO, SABCS, AACR, and the NCI Cancer Health Disparities Conference. Highlights from our most recent publications include:
European Cancer Summit 2025
Evaluating the breadth of cancer diagnoses identified by C the Signs in primary care


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Distinct cancer types detected in primary care, including hard-to-diagnose and non-screenable cancers such as pancreatic, renal, sarcoma and haematological malignancies.
100+
European Society For Medical Oncology 2025 (1748P)
Evaluating the impact of C the signs: AI-driven early cancer detection in primary care across Somerset ICB



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GP adoption across Somerset, with nearly 1,900 clinicians completing over 30,000 risk assessments following rollout to all 64 practices.
95%
2025 ASCO Quality Care Symposium (Abstract 560)
Evaluating the impact of C the Signs on early interception of the five deadliest cancers using real-world Mayo Clinic data




Of cancers identified earlier by C the Signs than by physician diagnosis, across lung, breast, prostate, colorectal and pancreatic cancers.
26%
Journal of Clinical Oncology (ASCO Abstract 32)
Health economic assessment on AI cancer prediction platform in the UK National Health Service.


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Return on investment, demonstrating the economic value of AI-supported cancer risk stratification in the NHS through avoided late-stage treatment costs and improved referral precision.
808%
Implementation of an AI-driven self-assessment pathway for the early detection of endometrial cancer in primary care


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reduction in time to specialist review, falling from around two months to just five days
91%
San Antonio Breast Cancer Symposium 2024
Challenges and opportunities in early diagnosis of breast cancer using C the Signs and Mayo Clinic data




Of breast cancers identified earlier by C the Signs than by primary care physician diagnosis, creating an opportunity for earlier investigation and treatment.
21%
2025 ASCO Annual Meeting I (Abstract 8053)
Leveraging electronic medical records for early lung cancer diagnosis




Of lung cancers identified earlier by C the Signs than by physician diagnosis, enabling earlier investigation in a disease where most patients are diagnosed late.
27%
Ca-PRI Conference 2025 (Page 97)
Enhancing early stage cancer detection in primary care: evaluating the impact of C the Signs in Manchester



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Cancer detection rate at Horizon PCN, up from 56% before C the Signs and significantly outperforming both Greater Manchester and NHS England benchmarks over the same period.
63%
Cancer Research (AACR Abstract 2518)
Implementing an AI triage platform for identification and management of patients suspected of cancer risk to improve elective recovery post pandemic



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Of patients safely redirected away from urgent cancer pathways, reducing pressure on hospitals by guiding people to tests, non-urgent referrals, or reassurance where cancer risk was low.
22%
Journal of the National Comprehensive Cancer Network (JNCCN)
Addressing early diagnosis challenges: pancreatic cancer risk assessment using C the Signs and Mayo Clinic data




Of pancreatic cancer cases identified up to five years earlier, offering a critical opportunity for earlier investigation in a disease where most patients currently present at an advanced stage.
23%
2024 European Cancer Summit
Enhancing early detection of ovarian cancer: a retrospective analysis using C the Signs clinical decision support system


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Increase in early ovarian cancer diagnosis, rising from around 22% before implementation to 33% after C the Signs was introduced.
53%
Journal of Clinical Oncology (ASCO Abstract 371)
AI-driven prediction of prostate cancer risk: A comparative analysis with C the Signs in the Mayo Clinic data platform.




Sensitivity for identifying prostate cancer risk, matching the performance of PSA testing while using routine electronic medical record data rather than a single blood test.
83%
Journal of Clinical Oncology (ASCO Abstract 54)
Shifting the paradigm: Early identification of colorectal cancer with C the Signs using Mayo Clinic data




Of colorectal cancer cases identified up to five years earlier, creating opportunities for earlier investigation and intervention before symptoms or clinical suspicion arise.
29%
2024 Early Detection of Cancer Conference
Improving the Faster Diagnostic Standard for colorectal cancer in the NHS: the impact of C the Signs

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Of colorectal cancer patients meeting the Faster Diagnostic Standard, following the introduction of C the Signs in the urgent suspected cancer pathway.
70%
Journal of Clinical Oncology (ASCO Abstract
Using an artificial intelligence platform to enhance cancer detection rates in primary care


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Cancer detection rate in primary care, up from 59% following the introduction of C the Signs, indicating more cancers being identified through GP-led referral routes where outcomes are best.
66%
JCO Oncology Practice (ASCO Abstract 74) Interim Findings
Accuracy of an AI prediction platform in predicting tumor origin: A real-world study.


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Of patients later diagnosed with cancer identified as at risk by C the Signs, demonstrating the platform’s ability to recognise cancer risk during routine primary care consultations.
99%
4th NCI Symposium on Cancer Health Disparities Program Booklet
The role of clinical decision support systems in reducing cancer diagnosis disparities from patients with socio-economic deprivation




Cancer detection rate in highly deprived communities, up from 48.6% in practices using C the Signs.
51%