Kebeza is building practical digital health tools around early cancer triage, patient pathology result access, image registries, remote diagnostic support, regional diagnostic networks, and implementation-ready research infrastructure.
These projects are designed to reduce delays, improve access to pathology expertise, support African datasets, and create scalable systems that can grow from Uganda into wider African implementation partnerships.
Connected initiatives: public-facing cancer guidance, patient result-status access, African pathology image data, remote pathology reporting support, regional diagnostic access, and African precision oncology infrastructure.
A bilingual digital cancer education initiative using short-form video in Luganda and English to improve awareness, correct misinformation, encourage earlier care-seeking, and connect communities to screening and diagnostic pathways.
A WhatsApp-based cancer symptom guidance tool that helps people understand warning signs, choose the right pathway, and seek care earlier. It is not a diagnosis tool; it is a structured early-action and referral support system.
A WhatsApp result-status checking system for pathology patients. The tool helps patients check whether a result is ready, not ready, or not found, without exposing the actual medical report through WhatsApp.
APIR is Kebeza’s public pilot registry for African pathology images, including cytology, histology, gross pathology, and selected case-of-the-week records. It supports education, research readiness, and future AI dataset development.
A clinical-image-first African registry for head and neck tumor presentations — linking clinical images with radiology, cytology, histology, and future precision oncology data. Addresses the diagnostic data gap in one of the continent’s most underrepresented cancer sites.
Low-cost digital pathology infrastructure for Africa, combining locally buildable OpenFlexure-based slide imaging, secure remote pathology reporting, structured case management, and African pathology datasets for teaching and AI model training.
African Precision Oncology Atlas by Kebeza is the intelligence layer for African precision oncology, linking pathology, IHC, stage, epidemiology, tumor-normal sequencing, treatment response, recurrence, and survival into actionable cancer intelligence for pharma, diagnostics, trial sponsors, oncologists, researchers, and AI-health partners.
A decentralized pathology clinic model bringing cancer diagnostic access closer to regional patients through cytology, biopsy access, ultrasound-guided procedures, and human-in-the-loop digital pathology support.