Offer

Melanoma Risk Assessment App - Patient-oriented system of skin lesion analysis using a smartphone

Skin cancer corresponds to about one third of all cancers detected each year, affecting 1 in every 7 people throughout life. It is estimated that malignant melanoma accounts for only 8% of skin cancers detected, but is responsible for more than 70% of the skin cancer deaths. Early diagnosis of melanoma is extremely important since the success rates of curing skin cancer are very high if detected during the early stages of its development.

This mobile technology is a patient-oriented and self-monitoring system of skin lesion analysis using a smartphone which collects, processes and stores information of skin lesions through automatic classification. This classification is made by algorithms that measure and quantify features based on the ABCD rule which consists of 4 visual features highly relevant for skin cancer detection (asymmetry, border, color and differential structures).

The system is formed by 3 main blocks:
- Front-end Device (the patient’s smartphone): used to take photos to skin moles and send them to a server;
- Server: used to process the image and store the analysis results;
- Back-end Device: the device that receives the analysis information collected by the server (smartphones, laptops, etc.).

Potential Market Applications:
- Mobile app for end user to track evolution of skin lesions and report data to HIS;
- Wide scale solution to screen skin lesions in primary care Health Centers.

Innovative aspects and main advantages:
- Simple solution based on a smartphone that allows to screen and track the evolution of skin lesions;
- Can be used in health centers as screening tool providing quantitative analysis of risk of skin lesion;
- Easy to integrate on HIS providing quality data to dermatologists that need to follow up the patients.