Ashish Saxena

This study shows that propionate metabolism dysregulation, through MMA accumulation and EMT activation, promotes drug-tolerant persister cell survival in NSCLC.

This paper introduces ppmSeq, a sequencing technology that improves accuracy and efficiency in detecting SNVs by sequencing both DNA strands, showing superior performance in clinical applications like ctDNA detection.

This study develops a pan-cancer PDO platform to preserve tumor heterogeneity and identify therapeutic vulnerabilities, finding that 58% of PDOs respond to Talazoparib and combination screens reveal resistance-overcoming drugs.

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

This study applies low-cost whole genome sequencing to detect circulating tumor DNA at high sensitivity in plasma samples, achieving error rates as low as 10^-7 and enabling cancer monitoring without matched tumor sequencing.