AI Blood Test Detects Early Breast Cancer with 98% Accuracy

Tejal Somvanshi

Edinburgh researchers achieve 98% accuracy detecting earliest breast cancer stage through innovative blood test using laser analysis and AI.

Photo Source: Anna Tarazevich (Pexels)

Raman spectroscopy shines laser beams into blood plasma, analyzing light properties to reveal cellular changes indicative of cancer presence.

Photo Source: Chokniti Khongchum (Pexels)

Machine learning algorithm processes spectral patterns to identify cancer markers, surpassing previous methods limited to stage two detection.

Photo Source: ThisIsEngineering (Pexels)

Dr. Andy Downes leads groundbreaking study demonstrating over 90% accuracy in distinguishing between four main breast cancer subtypes.

Photo Source: Anna Tarazevich (Pexels)

Blood test emerges as non-invasive alternative to traditional screening methods like mammograms, ultrasounds, and tissue biopsies.

Photo Source: Polina Tankilevitch (Pexels)

Research collaboration spans multiple institutions including Northern Ireland Biobank and University of Aberdeen, publishing findings in Journal of Biophotonics.

Photo Source: Mikhail Nilov (Pexels)

Dr. Kevin Tipatet's PhD research contributes to development of technology aimed at detecting cancer in most treatable stages.

Photo Source:  Cottonbro Studio (Pexels)

Current screening strategies target age-based groups and high-risk individuals, limiting early detection capabilities.

Photo Source: Cottonbro Studio (Pexels)

Researchers plan expansion of testing pool to evaluate method's effectiveness across multiple cancer types.

Photo Source: Tara Winstead (Pexels)