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 Speaker Profile

Chairman, Dxcover

Biography
With over 35 years in the diagnostics industry, Ronnie has successfully led organizations ranging from divisions of Fortune 500 companies to innovative startups. His executive experience spans global industry leaders including Abbott Diagnostics, Roche Molecular Diagnostics, LifeTechnologies and Thermo Fisher as well as public CEO roles at Clarient Inc (NASDAQ: CLRT), Oncocyte Inc (NASDAQ: OCX) and TwinStrand Bioscience. He is a passionate advocate for helping emerging technology companies focused on early detection of cancer and democratization of academic care. He has mentored over 20 CEO's and Sr Executives and is currently Founder and Managing Partner of Bethesda Group Advisors, a strategic advisory firm.


 Session Abstract – PMWC 2026 Silicon Valley

Track 3: Precision Dx - March 4 9.00 A.M.-5.00 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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