Top Breast Cancer Startups in 2027

iSono Health is developing AI-powered solutions for accessible and personalized health monitoring . Our first solution, ATUSA, combines a wearable, automated ultrasound and AI to transform breast cancer screening by increasing quality, improving access, and lowering cost. ATUSA system produces repeatable 3D images, independent of operator skill in 1min, enabling accurate and rapid diagnosis. iSono Health’s deep learning technology extracts acoustic biomarkers from quantitative ultrasound data to identify and track functional properties of breast tissue enabling early detection and monitoring of breast cancer.

At CancerIQ, our mission is to empower providers to offer genetic services at scale. Our solutions answer a growing problem of patient access by modeling proven systems at top academic cancer centers into a suite of digital health tools. - The CancerIQ Screening Toolkit and Navigator makes it easier for providers to efficiently identify high-risk patients, communicate that risk to patients, provide risk-based screening recommendations, and navigate them to genetic services. - The CancerIQ Self-Assessment and Specialist automates many of the tasks that are most time consuming for genetic specialists from gathering family history and running risk models, to processing test orders and generating documentation notes. - With the CancerIQ High-Risk Program and Manager providers can engage with high-risk patients over time with custom reminders to prompt follow-up activities and monitor care plans to ensure all recommendations are up to date.

We create solutions that detect medical errors and save clinical time for clinicians with a focus in radiation therapy. Using advanced algorithms and optimization techniques, our solutions bring automation to cancer treatments. Currently, many safety checks and planning steps are manually completed. Our goal is to help automate these processes for a more efficient and safer healthcare environment. Our software focus on three key areas: 1. Time savings through automation. 2. Error reduction through automated systems monitoring patients for errors. 3. Increased quality care through advanced algorithms creating patient treatment plans that are improved from current manual methods.