Updates

New data shows DERM, our AI skin cancer diagnosis tool, could be as accurate as clinical specialist

The prospective, diagnostic trial saw DERM, our AI platform, correctly identify all malignant lesions (100% sensitivity) with an average AUROC of 95.8% with 65% specificity versus 70% specificity and a 77% AUROC score demonstrated by the clinical experts. DERM, a CE marked medical device, was developed as a tool to aid clinicians in identifying 11 common skin lesion types, including melanoma.

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Skin Analytics Have a New Office

As the team continues to expand, we've outgrown our existing office space and have moved to a new office in The Frames, 1 Phipp Street, EC2A 4PS. We've not moved far though, we remain in the heart of London's tech scene in Shoreditch. The new space will have some room...

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Financial Support for Med-Tech Start-Ups

At Skin Analytics we have quite a few Google Alerts set so that we can keep up with the ever changing med-tech landscape. We were quite surprised to see our name pop up related to funding... Digital Health.london and RYSE asset management are calling for early stage...

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CogX 2019 Winners

We are delighted to announce that the Skin Analytics have been recognised for their innovative work in AI, by CogX, the world’s leading festival of all things AI and emerging technology. The team were awarded Best Innovation in Computer Vision at the 2019 CogX Awards,...

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Skin Analytics on CNN

Working in a startup that uses AI or Computer Vision to try and help improve health outcomes means that we are very familiar with the term CNN. In our world CNN means convolutional neural network which is a deep neural network used to classify images. (To all of the...

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CNN Interview

If it does not turn up on Google did it really happen? Recently our CEO Neil was interviewed by CNN about our AI and how it can help find skin cancer which will improve patient outcomes and save public health a lot of money too. As a company we were very very excited...

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World Cancer Day 2019

February 4 was World Cancer Day. The Skin Analytics team knew this, heck we even talked about it in our team meeting. We decided as a company that we would tweet about it too. Why? Because it is important. Worldcancerday.org perfectly describes cancer as a critical...

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Technical Partnerships

At Skin Analytics we have found that part of the skill required to successfully develop AI as a medical device is to know when to ask for help. Recently we undertook a project to develop a back end for our AI solution. We needed more than something that just worked,...

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How Skin Analytics really helps

At Skin Analytics we are really focused on making sure that we get our AI just right. Our aim has always been to be able to help identify skin cancer earlier by removing some of the barriers that people face. And we are well on the way. But really, we always need to...

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Partner with us

 

  • Our services are only available through our clinical partners in the UK. If you're worried about your skin and haven't been referred to us please speak to a doctor without delay.

 

Patient Safety and Quality Policy

Skin Analytics aims to provide best in class solutions for patients. We work to meet our customers and partners expectations by delivering on our brand vision with innovative and customer focused products and services.

We empower our teams to maintain a culture of innovation and continuous improvement, underpinned by an effective and efficient Quality Management System that complies with statutory and regulatory requirements.

We put safety and outcomes at the heart of what we do, to provide high quality products and services which are reliable, safe and compliant which is why we are so proud to have achieved ISO 13485:2016 compliance. MD 711728. 

Clinical Advisory Committee

Professor Scott Kitchnener

Professor Scott Kitchnener

Committee Chair. Primary Care Medical Service Director

Scott is a qualified specialist in medical leadership and management (FRACMA), a graduate of the AICD, a specialist public health physician (FAFPHM), while remaining a clinician with specialist standing as a general practitioner in rural practice. He has experience in health and education corporate governance and leadership in the private sector, public sector, higher education sector, international and Australian biotech sectors and in the military. His on-going research and experience have been in addressing health issues of developing nations, rural health and workforce, and particularly preventive approaches to public health challenges. 

Dr Niall Wilson

Dr Niall Wilson

Consultant Dermatologist

Niall qualified in Medicine from the University of Liverpool in 1991. He has been an NHS Consultant Dermatologist since 2000. He has special interests in skin cancer, hyperhidrosis and skin disorders in immunosuppressed patients. He has also been involved with postgraduate education for many years and is currently vice chair of the Specialist Advisory Committee for Dermatology, which oversees Dermatology training in the UK.

Dr Lucy Thomas

Dr Lucy Thomas

Consultant Dermatologist

Lucy is a Consultant Dermatologist at the Phoenix Hospital Group in London.

Professor Chris Hyde

Professor Chris Hyde

Health Economics

Chris is a professor of Public Health and Clinical Epidemiology at Exeter University. He is a School lead for research on test evaluation including systematic reviews, economic models and primary research. He leads the Exeter Test Group and is the diagnostics theme lead for PenCLAHRC. He is part of the Peninsula Technology Assessment Group (PenTAG). He directed the team delivering health technology assessments for national policy-making bodies, particularly NICE, from 2009 until 2015 and continues to support it by being the lead on HTAs of tests and through membership of its steering group. He is a long standing member of NICE's Diagnositc Advisory Committee and recently joined the National Screening Committee.

Justin M Ko, MD, MBA

Justin M Ko, MD, MBA

CLINICAL ASSOCIATE PROFESSOR, DERMATOLOGY STANFORD UNIVERSITY

Dr. Ko joined Stanford Medicine in 2012 and serves as Director and Chief of Medical Dermatology for Stanford Health Care (SHC) while also spearheading the dermatology department's efforts around network development, digital health, quality/safety/performance improvement, and value-based care. He is active in a number of leadership roles within the organization including co-chairing the Clinic Advisory Council, a forum of medical and executive leaders of Stanford Health Care’s Ambulatory clinics, and as a Service Medical Director.

His passion for melanoma, early cancer detection, and improving care delivery drives his efforts and research around leveraging advances in machine learning and artifical intelligence to increase the breadth of populations that can be reached. He chairs the American Academy of Dermatology's Task Force Committee on Augmented Intelligence.