AI technology enhances blood tests for early disease detection

AI technology is being developed to improve blood tests for early detection of diseases like ovarian cancer. New methods use tiny carbon nanotubes to identify molecular patterns in blood samples, which AI can analyze more accurately than humans. Researchers face challenges due to the rarity of ovarian cancer, limiting available data for training AI algorithms. Despite this, initial results show AI can outperform existing cancer biomarkers, and further studies aim to enhance accuracy with larger datasets. In addition to cancer detection, AI is also streamlining tests for infections like pneumonia. Companies like Karius are using AI to quickly identify pathogens, reducing the number of tests and costs for patients. Data sharing remains a significant hurdle in advancing these technologies.