Robert B. Scharpf

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• Supplementary Figure S2 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Figure S3 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Figure S4 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Figure S5 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Figure S1 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplemental Table 1 from Epigenetic Instability–Based Metrics in Cell-Free DNA for Early Cancer Detection

  2026-06-17

• Data from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Figure S6 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplementary Tables S1-S6 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Data from Epigenetic Instability–Based Metrics in Cell-Free DNA for Early Cancer Detection

  2026-06-17

• Supplemental Table 3 from Epigenetic Instability–Based Metrics in Cell-Free DNA for Early Cancer Detection

  2026-06-17

• Supplementary Data 1 from Epigenetic Instability–Based Metrics in Cell-Free DNA for Early Cancer Detection

  2026-06-17

• Supplementary Figure S7 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  2026-06-17

• Supplemental Table 2 from Epigenetic Instability–Based Metrics in Cell-Free DNA for Early Cancer Detection

  2026-06-17

• Simultaneous CRISPR/Cas9-induced double-strand breaks are lethal in models of pancreatic cancer

  Journal of Clinical Investigation · 2026-05-15

• Sa1916 INTEGRATING FRAGMENTOMICS AND PROTEOMICS FOR EARLY DETECTION OF CHOLANGIOCARCINOMA

  Gastroenterology · 2026-05-01

• 846 GENOME-WIDE CELL-FREE DNA FRAGMENTOMES FOR NONINVASIVE DETECTION OF STEATOTIC, FIBROTIC, AND CIRRHOTIC LIVER DISEASES

  Gastroenterology · 2026-05-01

• 846 GENOME-WIDE CELL-FREE DNA FRAGMENTOMES FOR NONINVASIVE DETECTION OF STEATOTIC, FIBROTIC, AND CIRRHOTIC LIVER DISEASES

  Gastrointestinal Endoscopy · 2026-05-01

• Sa1916 INTEGRATING FRAGMENTOMICS AND PROTEOMICS FOR EARLY DETECTION OF CHOLANGIOCARCINOMA

  Gastrointestinal Endoscopy · 2026-05-01

• plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors

  Clinical Cancer Research · 2026-04-19