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Medical Breakthrough: AI Predicts Cancer Before Onset
Artificial intelligence is revolutionizing cancer detection by identifying malignancies years before symptoms appear. Recent studies show AI algorithms can analyze medical scans and genetic data to spot early warning signs human doctors might miss.
How the Technology Works
Researchers train AI systems using thousands of medical images and patient records. The algorithms learn subtle patterns indicating pre-cancerous changes. One breakthrough model called 'Sybil' can predict lung cancer risk up to 6 years in advance by analyzing low-dose CT scans. Another blood test developed by Novelna detects protein biomarkers associated with 18 early-stage cancers with 93% accuracy in men and 84% in women.
Real-World Applications
Hospitals in England are now trialing personalized cancer vaccines that use mRNA technology similar to COVID-19 jabs. These vaccines train the immune system to target cancer cells detected early by AI systems. Meanwhile, Cambridge researchers have sequenced DNA from 12,000 tumors, creating a "genetic fingerprint" database that helps AI identify cancer origins.
The Future of Cancer Prevention
Experts believe AI diagnostics could reduce cancer deaths by 40% through early intervention. Liquid biopsies that detect cancer DNA in blood samples are becoming cheaper and more accessible. As MIT researcher Jeremy Wohlwend notes: "Where humans couldn't see cancer forming, AI models identified predictive patterns."
