Ekyaalo Diagnostics
2025
          
                      Team Members:
                    
                    - Arjun Menta
 - Ava Taylor
 - Kenny Nova
 - Shreya Jindal
 - Sofia Garcia del Barrio Cervera
 - Fujia Zheng
 
                      Advisors:
                    
                    - Soumyadipta Acharya
 
Abstract:
Breast cancer is the leading cause of cancer-related deaths among women in Uganda, due to diagnostic delays of 11 months driven by limited pathology resources and centralized healthcare services. Over 80% of Ugandan women are diagnosed at late stages with significantly increased treatment costs. To address this challenge, Ekyaalo Diagnostics, a novel low-cost cytopathology assessment system, aims to provide point-of-care breast cancer diagnosis in rural healthcare centers in Uganda. Our solution integrates existing smartphones and microscopes with Machine Learning algorithms to interpret fine needle aspiration (FNA) biopsy samples for a more efficient and accurate diagnosis.
                  