Welcome to DERMPATH.ai

Dermpath.ai is a big data technology company focused on applications of artificial intelligence to dermatopathology, improving patient outcomes via early and effective diagnosis. We have built the world's largest data-set of early-stage melanomas including clinical and dermoscopic images, digitised whole slide images and paraffin embedded tissue blocks rich with molecular data.

For Patients

For Clinicians

For patients, the data and algorithms enable a more comprehensive longitudinal understanding of skin cancer, including early correct diagnosis, adding clarity to treatment efficacy, outcomes, cost, tests/procedures, and tumor profiling, the ultimate in personalized skin cancer medicine.

For Researchers

Our large data-set of early-stage melanomas including clinical and dermoscopic images, digitised whole slide images and paraffin embedded tissue blocks rich with molecular data (we believe the world's largest) will be extremely valuable for researching the early diagnosis of melanoma.

For doctors, the ultimate outcome would be developing personalized treatment plans and the resulting outcomes of sub-populations can drive personalized care for patients, improving quality patient outcomes.

For Dermatopathologists

The goal is personalized decision support ​for individual dermatopathologists, enhancing a quick, correct diagnosis.

Skin cancer is the most prevalent cancer in the world
but diagnosis and treatment standards vary enormously!

Combining clinical data with imaging data and pathology data

Discohesive data is a huge problem in skin oncology, the most common cancer in the world.  Imagine a more coherent blend of clinical EMR notes including procedure, follow-up, complication and recurrence rates, dermatopathology results, clinical and dermatoscopic imaging, and genetic sequencing.  Computational models such as neural networks, bayesian networks, and a variety of supervised and unsupervised ML algorithms provide novel ways to learn patterns and make inferences on that data. 

Tissue biopsies using tissue obtained from a tumour is the most common way of accurately diagnosing most cancers in the body. Early diagnosis of skin cancers, particularly melanoma, is vital to long term outcomes. Luckily, because skin is the most visible organ,  the diagnosis of skin cancer including molecular data is potentially obtainable without a tissue biopsy.



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