Rapid Breast Cancer Diagnosis in Low and Middle Income Countries

One of the biggest cancer challenges in low- and middle-income countries (LMICs) is the lack of access to accurate and affordable cellular and molecular diagnostics, which are essential for making informed therapeutic decisions, in particular for breast cancer.

With the increased use of low cost ultrasound, it has become possible to readily sample suspicious breast lesions with ?ne needles (?ne needle aspirates, FNA). However, the workup of such specimens is often impossible in many LMIC settings.

To address these barriers to diagnosis, Aikili?derived from A.I. and Akili (intelligence in Kiswahili)?seeks to enable the same-day diagnosis of breast cancer at the point-of-care using a low-cost, automated system.

The Aikili system is a highly advanced stand-alone diagnostic platform capable of automated cancer diagnosis and receptor sub- typing in near real-time (< 1 hour), at a low cost (