Area of research
Pulmonary and Respiratory Medicine · Artificial Intelligence
Research interest
Research interests include Medicine, Pathology, Soft tissue sarcoma, Sarcoma, Soft tissue, and Phenotype.
Genomic Patterns of Malignant Peripheral Nerve Sheath Tumor (MPNST) Evolution Correlate with Clinical Outcome and Are Detectable in Cell-Free DNA
Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force
Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force
Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists
Soft Tissue Sarcoma, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology
NCCN Guidelines® Insights: Gastrointestinal Stromal Tumors, Version 2.2022
Abstracts from USCAP 2021: Education (271-295)
NCCN Guidelines Insights: Soft Tissue Sarcoma, Version 1.2021
Genomics of MPNST (GeM) Consortium: Rationale and Study Design for Multi-Omic Characterization of NF1-Associated and Sporadic MPNSTs
Defining the biological basis of radiomic phenotypes in lung cancer
Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution
Soft Tissue Tumor Immunohistochemistry Update: Illustrative Examples of Diagnostic Pearls to Avoid Pitfalls
Darwinian Dynamics of Intratumoral Heterogeneity: Not Solely Random Mutations but Also Variable Environmental Selection Forces
Image Analysis of the Tumor Microenvironment
Pathology to Enhance Precision Medicine in Oncology
Diagnostic assessment of osteosarcoma chemoresistance based on Virtual Clinical Trials
Soft Tissue Sarcoma, Version 2.2014
Gastrointestinal Stromal Tumors, Version 2.2014
Vascular measurements correlate with estrogen receptor status