We believe Technologies can
SKIN CANCER
the most invisible visible form of cancer
Skin cancer is one of the most common types of cancer in the world
includes melanoma and non-melanoma skin cancer
3.1 MILLION
skin cancer cases are identified annually.
MORE THAN 300,000
are MELANOMA cases.
98.4%
Survival rate if identified at Stages 1 and 2
22.5%
Survival rate if identified at Stage 4
more than 60,000 people dies annualy from melanoma (skin cancer)
Our ambition is to create Technology that will
save 60,000 lives annualy
Now
Conventional approach
The definitive diagnosis of melanoma is confirmed only through a biopsy, a medical procedure in which a small sample of tissue or cells is removed from the body for microscopic examination.
However, the tissue selected for testing must first be identified as suspicious. This evaluation is typically conducted using dermatoscopy, a technique that enables the dermatologist to assess the visual and structural characteristics of the tissue. Based on these observations, the dermatologist determines whether the tissue is potentially malignant.
How technologies can help
Technology Integration
Early detection of skin cancer relies heavily on accurate pattern recognition and classification by dermatologists during dermatoscopy. Today, advancements in technology have enabled the digitization of this process, primarily through the integration of the following technologies:
01
Computer Vision
02
Neural Networks
03
Macro photography
Why now
Ready to scale
Today hype around AI significantly inflated expectations around application of AI-based technologies in real life. But recent evolution of AI and neural networks in combination with collected data-sets and improvements in hardware, have unlocked new possibilities for early skin cancer detection.
