Skin cancer is the most common cancer, affecting 1 in 5 people in the US, 1 in 7 Canadians, and two thirds of Australians. Melanoma is the most dangerous form of skin cancer when detected in an advanced stage. Fortunately, with early detection the survival rate is 98%. Melanoma arises from the pigment-producing cells of the skin, calledmelanocytes, and can appear in moles on the surface of the skin.All moles are guilty until proven innocent, and it is very important to examine your moles regularly to look for warning signs of skin cancer. The MoleScope imaging device and app make skin screening easy by helping you find suspicious moles, track changes, and send dermoscopic images to your doctor - all from the comfort of your home.Developed in Vancouver by a team from Simon Fraser University and University of British Columbia, working with high-level academic researchers, scientists and physicians who focus on the early detection of skin cancer.

Beauty & Cosmetics

Health Care

MoleScope™

MoleScope™'s headquarters in Vancouver, Canada

Maryam Sadeghi

Aaron Hersh

Leah Li

Majid Razmara

The Engineering team at MoleScope™ is responsible for developing and maintaining the MoleScope imaging device and app, which facilitate easy and effective at-home skin cancer screenings. This involves designing and optimizing both the frontend and backend systems, integrating machine learning algorithms for image analysis, ensuring robustness through QA automation, and enhancing mobile app performance. The team works closely with medical researchers and physicians to ensure that the technology meets high standards of accuracy and usability.

Engineering

The Customer Success Team at MoleScope™ is dedicated to ensuring that users of the MoleScope imaging device and app have an exceptional experience. They provide personalized support and guidance to customers, helping them effectively use the app to track and monitor their moles for signs of skin cancer. This team also bridges communication between users and healthcare professionals, ensuring that dermoscopic images are accurately shared with doctors for further evaluation. By prioritizing customer engagement and satisfaction, the team plays a crucial role in the early detection of skin cancer.

Customer Success Team

This department focuses on developing and implementing machine learning models and algorithms to drive data-driven solutions.

Machine Learning

This department is responsible for developing and maintaining the software and systems that support the organization's technological infrastructure.

Engineering Department

This department guides the overall strategic direction and vision of the organization.

Executive Leadership

This department manages the organization's financial planning, reporting, and analysis.

MoleScope™

Org chart

Teams

Engineering

Customer Success Team

Machine Learning

Engineering Department

Executive Leadership

Finance Department

Offices

MoleScope™

Org chart

Teams

Engineering

Customer Success Team

Machine Learning

Engineering Department

Executive Leadership

Finance Department

Offices

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