A groundbreaking multicenter clinical study published on July 30 in JAMA Surgery confirms the powerful diagnostic performance ...

Current methods for cancer diagnosis are based on identifying biomarkers—molecules that reveal a particular state or process ...

In a proof-of-concept study, the team used machine learning to analyze blood plasma from more than 2,000 participants and link molecular patterns to lung cancer, extrapolating a potential ...

Current methods for cancer diagnosis are based on identifying biomarkers - molecules that reveal a particular state or ...

Learn about Galleri, the multi-cancer early detection blood test. Understand how it screens for 50+ cancers using cfDNA, its accuracy, cost, and limitations.

They then ran simulations into a machine-learning-based system and found that tumor or blood samples taken before treatment started were not effective predictors of therapeutic benefit. However, ...

Lung cancer accounts for 1 in 5 cancer-related deaths in the United States. While doctors say lung cancer is often treatable if caught early, millions of Americans who should be getting screened for ...

Half were later diagnosed with cancer within six months of giving blood. The rest stayed cancer-free. The researchers ran the samples through a multicancer early detection (MCED) test, which uses ...

OXcan's multidisciplinary team is developing a new generation of liquid biopsy blood tests using cutting-edge proteomics and explainable machine learning approaches that can detect the deadliest ...