Computational and Digital Pathology Fellowship Scholarly Activity and Research

Scholarly achievement is a core component of the fellowship experience.

Fellows are expected to participate in mentored research projects that advance the field of computational pathology and digital diagnostics. Opportunities may include:

• Artificial intelligence applications in cancer diagnosis
• Digital biomarker development and validation
• Quantitative image analysis
• Clinical implementation studies
• Digital pathology workflow optimization
• Machine learning model development
• Translational cancer research
• Multi-modal data integration

Fellows are encouraged to present their work at national meetings and contribute to peer-reviewed publications, abstracts, educational initiatives and collaborative research programs.

Research Environment

Moffitt Cancer Center offers a uniquely rich ecosystem for computational pathology training.

Fellows benefit from access to:

• Extensive cancer-focused digital pathology archives
• Whole-slide imaging repositories
• Advanced computing resources
• High-dimensional molecular and genomic datasets
• Translational research laboratories
• Clinical trials programs
• Multidisciplinary disease-specific teams
• Collaborations with researchers, technologists and industry partners