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 Speaker Profile

Distinguished Scientist, GRAIL

Biography
Eric A. Klein is a Distinguished Scientist at GRAIL. Previously he served as the Andrew C. Novick Distinguished Professor and Chair of the Glickman Urological and Kidney Institute and Lerner College of Medicine of the Cleveland Clinic, where he was also a member of the Department of Cancer Biology of the Cleveland Clinic Lerner Research Institute, the Taussig Cancer Institute, and the Genitourinary Malignancies Program in the Case Comprehensive Cancer Center. Dr. Kleins clinical and research interests focused on prostate cancer with an emphasis on genomics and clinical trials. Most recently his work has focused on the clinical development of multicancer early detection tests. Dr. Klein was a Fellow in the Distinguished Careers Institute at Stanford University in 2022 and joined GRAIL in 2023.


 Session Abstract – PMWC 2026 Silicon Valley

Track 3: Precision Dx - March 4 9.00 A.M.-4.45 P.M.


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

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