AI advances ovarian cancer detection and speeds up blood tests
AI-powered tests are enabling earlier ovarian cancer detection and faster pathogen identification, revolutionising medical diagnostics while overcoming challenges like limited data sharing and complex biomarker patterns.
AI is revolutionising medical testing, including early detection of ovarian cancer and faster identification of life-threatening infections like pneumonia. Researchers are leveraging AI to interpret complex patterns in blood tests, improving accuracy and speed in diagnosing diseases.
Dr Daniel Heller’s team at Memorial Sloan Kettering Cancer Center developed a nanotube-based blood test that uses AI to detect ovarian cancer earlier than traditional methods. Despite limited data, the technology shows promise, with further studies underway to enhance its effectiveness and expand its application.
AI is also transforming infectious disease diagnosis. California-based Karius uses AI to identify pneumonia-causing pathogens within 24 hours, cutting costs and improving treatment outcomes. Meanwhile, AstraZeneca‘s Dr Slavé Petrovski developed a platform that identifies over 120 diseases from United Kingdom biobank data. However, challenges persist, including a lack of data sharing among researchers, prompting calls for more collaborative efforts.
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