University of Edinburgh researchers have developed a blood test combining laser analysis with artificial intelligence that identifies stage 1a breast cancer – the earliest detectable phase of the disease. The method achieved 98% effectiveness in initial testing, though the small sample size of 24 participants necessitates larger trials before clinical implementation. The technique uses Raman spectroscopy, shining laser beams into blood plasma to analyze light properties that reveal chemical changes in cells and tissues. A machine learning algorithm then processes these spectral patterns to identify cancer indicators. Previous similar approaches could only detect stage two cancer or later. “Most deaths … Continue reading AI-Powered Blood Test Achieves 98% Accuracy in Early Breast Cancer Detection