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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.

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