UNC’s MS in Pathology places students at the interface of clinic and bench. Trainees validate AI histopathology pipelines, culture patient-derived organoids, and mine proteogenomic datasets to uncover therapeutic targets. Rotations in Surgical Pathology and Molecular Oncology accelerate translational impact.
Deep-learning model classifying skin-lesion whole-slide images
Organoid drug-screen predicting chemo response in pancreatic cancer
Spatial transcriptomics map of immune infiltrates in triple-negative breast cancer
Policy brief on digital-path slide-sharing interoperability
Proteomics workflow identifying biomarkers for sepsis prognosis
CRISPR screen mapping synthetic lethality in KRAS-mutant lines
Grant proposal for low-cost HPV genotyping in LMIC cytology labs
White paper on ethical use of patient tissue for AI training
Infographic explaining PD-L1 scoring harmonization
Liquid-biopsy assay detecting EGFR exosome RNA
VR training module for residents on lymphoma pattern recognition
Evaluation of fixative alternatives preserving RNA quality
Meta-analysis of TMB as pan-cancer predictive biomarker
Dashboard tracking turnaround times in intraoperative consults
Citizen pathology initiative annotating benign histology tiles
Automated QC pipeline for IHC stain intensity
Podcast discussing pathology-lab decarbonization strategies
Lean study reducing specimen ID errors
Workshop on gender disparities in academic pathology leadership
Comparative study of multiplex IF vs CyTOF imaging costs
Advance precision diagnostics through molecular and digital pathology.
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