Gregory J. Tsongalis, BS, MS, PhD
Title(s)
Professor of Pathology and Laboratory Medicine
Additional Titles/Positions/Affiliations
Vice Chair for Research and
Director, Clinical Genomics and Advanced Technology (CGAT)
Department(s)
Pathology and Laboratory Medicine
Education
Univ. of Massachusetts, Amherst, BS, 1984
Quinnipiac College, MHS, 1986
Univ. of Medicine and Dentistry of New Jersey, PhD 1990
Uniiv. of North Carolina, Chapel Hill, post-doctoral 1990-1994
Programs
Norris Cotton Cancer Center
Program in Experimental and Molecular Medicine
Websites
DHMC-CGAT.com
Contact Information
Department of Pathology and Laboratory Medicine
Dartmouth-Hitchcock Medical Center
One Medical Center Drive
Lebanon NH 03756
Office: WTRB 4th floor
Phone: 603-650-5498
Fax: 603-650-6120
Email: Gregory.J.Tsongalis@hitchcock.org
Assistant: Amber Erskine
Asst. Phone: 603-650-6821
Asst. Email: amber.j.erskine@hitchcock.org
Professional Interests
Development of advanced diagnostic technologies and disease biomarker discovery.
Grant Information
01/2014-12/30/15; Molecular profiling of tumor and ctDNA, riends of NCCC Scholar $50,000
03/01/13-01/31/2018; 1P20GM104416, Investigator / 2% COBRE Center for Molecular Epidemiology, Federal Direct Costs: $1,793,732
Selected Publications |
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Potential Impact of Pharmacogenomic Single Nucleotide Variants in a Rural Caucasian Population. Current Topics in Molecular Diagnostics and Precision Medicine. A novel method to assess copy number variation in melanoma: Droplet digital PCR for precise quantitation of the RREB1 gene in formalin-fixed, paraffin-embedded melanocytic neoplasms, a proof-of-concept study. Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images. Wastewater-Based SARS-CoV-2 Surveillance in Northern New England. Actionable Tumor Alterations and Treatment Protocol Enrollment of Pediatric and Young Adult Patients With Refractory Cancers in the National Cancer Institute-Children's Oncology Group Pediatric MATCH Trial. Living the best of both worlds: A personal scientific journey. Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers. Plasmonic Nanoparticle Conjugation for Nucleic Acid Biosensing. CRISPR-cas13 enzymology rapidly detects SARS-CoV-2 fragments in a clinical setting. |
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