Microwave breast imaging is a promising frontier in breast cancer detection. This presentation summarizes over a decade of diverse studies, from early beginnings to a prototype portable device for underserved communities. We’ve developed a Health-Canada-approved device using 24 small vector network analyzers. Ongoing efforts focus on a low-cost multistatic device. Disparities in breast cancer detection for marginalized populations highlight the need for the system’s low-cost, portable, and user-friendly solutions. A critical review emphasizes the need to improve specificity for BMI. High-contrast image reconstruction methods sometimes overshadow accuracy, a key area for investigation. The presentation focuses on radar-based reconstruction algorithms, addressing various challenges. It introduces a differential dual-breast diagnostic strategy for more accurate estimates. In conclusion, a decade of research underscores ongoing learning and integration for advancements, crucial for impacting early breast cancer detection in remote locations and low-middle income countries. Room: ENGMC603, Bldg: McConnell Engineering Building, 3480 Rue University, Montreal, Quebec, Canada