Senseglove offers a portable, home-based medical device that complements breast self-examination through a smart glove equipped with sensors. This system measures variations in breast tissue texture and guides users through a three-minute exam via a companion application. The service provides automated reporting and historical tracking to support proactive breast health monitoring between clinical screenings.
Funding
$690K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Breast self-examinations are critical for early breast cancer detection, but many women lack confidence in their ability to perform them effectively, leading to late diagnoses. Traditional methods rely on manual palpation, which can be subjective and difficult to interpret, delaying timely medical intervention.
Solution
Glooma offers SenseGlove, a portable medical device paired with a mobile application, designed to improve the accuracy and consistency of breast self-exams. The SenseGlove utilizes sensor technology to analyze pressure differences in breast tissue, identifying irregularities that may indicate early signs of cancer. By providing guided self-examination and detailed tracking of results, the device empowers women to monitor their breast health from home and facilitates earlier detection of potential issues. The accompanying mobile app sends timely reminders for self-exams and allows users to share their tracked results with healthcare professionals, promoting proactive breast health management.
Target Audience
The primary target audience includes women of all ages seeking a more reliable and data-driven approach to breast self-examinations, as well as healthcare providers looking to enhance patient engagement in early cancer detection.
Features
- Portable, glove-like device equipped with pressure sensors to detect subtle tissue changes
- Mobile application providing guided self-examination instructions and reminders
- Real-time analysis of pressure data to identify potential irregularities in breast tissue
- Tracking and storage of self-examination results over time for comparative analysis
- Secure data transmission to facilitate sharing results with healthcare providers
- Integration of AI algorithms to improve the accuracy and sensitivity of anomaly detection
- User-friendly interface designed for ease of use and accessibility