Arash Bhatt

Arash Bhatt develops advanced computational methods for multi-cancer early detection from cell-free DNA, integrating methylation, fragmentation, and mutation signals to maximize the sensitivity and specificity of blood-based cancer screening tests. His work has optimized machine learning classifiers for identifying cancer type of origin from cfDNA methylation patterns, achieving over 90% accuracy in locating the tissue source of detected cancers. He has characterized the pre-analytical variables that influence cfDNA MCED test performance in clinical settings. His research is critical for the analytical validation and clinical implementation of MCED technology.