Speaker Profile
M.D., Chief Medical Officer, DELFI Diagnostics
Biography
Health policy and payment expert, pulmonary physician, and lung cancer epidemiologist, Peter has devoted his career to repairing defects in the healthcare delivery system that impede access to high-quality cancer care and working to ameliorate healthcares cost crisis. His work spans seminal studies including that identification of racial gaps in lung cancer care, the development of the first lung cancer risk prediction model (the Bach model), lead authorship on multiple lung screening guidelines, and definitional work on pharmaceutical pricing and value. Peter previously served as Senior Adviser at the US Centers for Medicare Medicaid Services and mentor on many National Institutes of Health K awards. He has been elected to the National Academy of Medicine, American Society for Clinical Investigation, and the Johns Hopkins Society of Scholars.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Victor Velculescu, Johns Hopkins University
PMWC Award Ceremony
• Klaus Pantel, University Medical Center Hamburg-Eppendorf / ELBS
• Daniel De Carvalho, University of Toronto
Keynote: Early Detection of Cancer by Multimodal Liquid Biopsy Analysis
• Klaus Pantel, UKE / ELBS
From Mutation to Methylation: The Next Wave of Liquid Biopsy Biomarkers
• Chair: Victor Velculescu, Johns Hopkins University
• Daniel De Carvalho, University of Toronto
• Manel Esteller, Sant Pau Research Institute
• Gordon Sanghera, Oxford Nanopore Technologies
Advancing Minimal Residual Disease Detection Through cfDNA & cfRNA Profiling
• Chair: Luis Diaz, Memorial Sloan Kettering Cancer Center
• Anne-Renee Hartman, Adela
• Klaus Pantel, UKE / ELBS
AI-Informed Biomarker Trials: Turning Early Signals into Actionable Designs
• Chair: Manish Kohli, University of Utah
• Luis Diaz, MSKCC
• Eric Klein, GRAIL
• Peter Bach, DELFI Diagnostics
• Samuel Levy, ClearNote Health
Role of AI in Liquid Biopsies & Cancer Detection
• Chair: Amoolya Singh, DELFI Diagnostics
• Matthew Baker, Dxcover
• Pankaj Vats, NVIDIA
Fragmentomics for Early Detection
• Varsha Rao, Claret Bioscience
Integrating Genetic Risk with Early Detection
• Giordano Botta, Allelica
Metagenomic Diagnostics & Global Pathogen Surveillance
• Charles Chiu, UCSF
AI-Driven Host–Pathogen Signatures from Plasma cfDNA
• Sivan Bercovici, Karius
Ultra-Sensitive Multimodal Liquid Biopsy for Early Cancer Detection
• Atul Sharan, CellMax Life
AI-Enhanced Proteomic Signatures for Early Cancer Detection
• Diana Abdueva, Aqtual
