Education
Competency-based AI in Medicine elective with digital pathology tools
Khadiga Mohamed Ali et al.
Mansoura University, Egypt
Where Pathology Meets Intelligence
AI
01
Cells
Tissue on glass
02
Pixels
Whole slide imaging
03
Feature maps
Computational pathology
04
Neural network
AI models
05
Clinical insight
Supporting pathologists
AFSDP’s scientific focus spans AI in pathology, computational pathology, digital cytology, data sharing and interoperability, responsible and ethical AI, and the path from research to clinical use.
Research
African-led science
A selection of abstracts presented at AFCDP 2026.
Spatial analysis
Deep learning to predict spatial transcriptomic clusters from histopathology in glioblastoma
Anass Oukhdouch et al.
Cadi Ayyad University, Marrakech
AI in pathology
Ischemic stroke diagnosis from whole slide thrombectomy images
Ismail M et al.
Alexandria University, Egypt
Digital implementation
Semi-automated IHC scoring of MMR and p53 in endometrial carcinoma
Nahla El Sayed Ali et al.
Mansoura University, Egypt
Education
CasePathTangier: a web platform for sharing anonymized pathology cases
K. Elmorabit et al.
Mohammed VI University, Tangier
Computational pathology
BeePath: collaborative and assistive computational pathology platform
LRIT Laboratory
Mohammed V University, Rabat
Cancer research
Intelligent system for breast cancer cell detection
Bogodogo University Hospital
Burkina Faso
AI in pathology
Training-free inference-time enhancement for zero-shot histopathology
Nile University & MBZUAI
Egypt / UAE