AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...

Researchers at Vilnius University have developed an effective approach to liquid biopsy that contributes to the field of non-invasive cancer detection methods, with significant implications for ...

Raman spectroscopy, paired with AI, offers a non-invasive method for detecting skin cancer, showing good diagnostic accuracy. Regulatory challenges and machine bulkiness limit the clinical adoption of ...

Blood tests have proved to be a promising tool for detecting and monitoring cancer. Researchers at Chalmers University of Technology and the University of Gothenburg, Sweden, have now developed a new ...

The powerful potential of nano technologies and AI to detect oral cancer earlier and more accurately have been revealed by a new study. The powerful potential of nano technologies and AI to detect ...