The present invention describes a comprehensive
system and method for the simultaneous
early detection of multiple cancers in a single analysis. The
system involves a liquid
chromatography-
mass spectrometry (LC-MS) instrument coupled with a processor and AI / ML algorithms. The LC-MS instrument analyzes
metabolite ions from dried extracts of
biological fluid samples and aligns and normalizes the data while minimizing errors.
Quality control processes, including neural network models and critical
ion monitoring, ensure accurate detection. The
system employs an AI / ML process to create two models: a
Cancer Detection AI (CDAI) model for identifying
cancer samples and a Tissue of Origin Identification (TOOAI) model for distinguishing specific
cancer types. These models are applied to test samples and provide a
score based on tissue of origin probability. The present invention aims to revolutionize
early cancer detection through advanced analytical and
machine learning techniques.