Artificial Intelligence (AI) aimed at detecting skin cancer is not yet ready for use in primary care settings, due to a lack of evidence in settings where the prevalence of skin cancer is low, according to CanTest researchers. The researchers emphasise that AI technology demonstrates promising results in detecting skin cancer in images from specialist […]
New research to improve diagnosis of prostate cancer
New research will discover how well the Prostate Specific Antigen (PSA) test works to catch harmful forms of prostate cancer in men visiting their GP. The CanTest team, from Cambridge and Exeter Universities, will then try out a new way to combine PSA results with other data to help improve the diagnosis of prostate cancer. Prostate cancer […]
Research on detecting cancer in primary care wins RCGP Research Paper of the Year award
Dr Garth Funston and colleagues have won the 2020 Research Paper of the Year for Clinical Research, awarded by the Royal College of General Practitioners, for their paper on detecting cancer in primary care. The research shows that CA125, a simple blood test available in primary care, is useful for ovarian cancer detection in symptomatic […]
How patients and the public are involved in research to improve the early diagnosis of cancer
Patient and public involvement in research: in this Primary Care Unit case study, we learn that the CanTest Collaborative has had PPI at its heart from the outset, aiming to improve the early diagnosis of cancer in primary care settings Summary: The CanTest Collaborative is a great example of how to include patients and members […]
Dr Garth Funston wins World Ovarian Cancer Coalition Impact Award
Dr Garth Funston, Clinical Research Associate at the Cambridge Primary Care Cancer Group and CanTest, will receive the inaugural Transformational Research Award from the World Ovarian Cancer Coalition for his work on detecting ovarian cancer in primary care. The award is one of 12 Impact Awards which will be made by the Coalition at a […]
Could Ovarian Cancer Prediction Models Improve the Triage of Symptomatic Women in Primary Care?
A new CanTest study, just published in Cancers, indicates that a newly developed ovarian cancer prediction model could be used to help select women, with relevant symptoms who are undergoing testing in primary care, for specialist referral based on their cancer risk. Ovarian cancer has the worst prognosis of any gynaecological cancer, accounting for over […]
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