Digital Pathology & AI
Integration of artificial intelligence and digital workflows into surgical pathology diagnostics, including image analysis, IHC quantification, and AI-assisted pattern recognition in lung cancer.
At Argos Laboratory, we are actively developing and deploying AI-assisted diagnostic tools to improve accuracy, efficiency, and reproducibility in surgical pathology.
Current initiatives:
- AI-powered immunohistochemistry quantification (PD-L1, Ki-67, HER2)
- Digital slide triage and navigation for high-volume oncologic cases
- Pattern recognition models for lung cancer subtype classification
- Cell quantification pipelines for immune profiling
- Collaboration with software engineers on custom pathology AI tools
- Digital cytopathology — comparative studies of glass vs. digital slides for cervical cytology
Related publication:
- Velozo et al., Diagnostic Cytopathology 2023 — Comparison of glass and digital slides for cervical cytopathology screening