MedTech · Mobile + Web · Pro bono
From a published risk model to an app doctors use during the visit.
Researchers at Dell Medical School had a validated model for cutaneous squamous cell carcinoma, but it lived in R code and a journal article. We turned it into a free app for iOS, Android and the web that gives a doctor the 5-year risk in seconds.
Written by Tomasz Kośmider, CEO · Published November 2026
I can wholeheartedly recommend this team! They are very easy to work with: communicative, responsible and flexible. As someone who had never created a website before, I was guided through each step and given a realistic estimate and timeline. In the end, they delivered the product on time and under budget. I cannot say enough great things about them. 5 out of 5 stars!
Anokhi Jambusaria MD, MSCE
Dell Medical School, The University of Texas at Austin
Five-year risk for each treatment path in the riSCC app
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The challenge
A strong model is useless if it does not fit into a 15-minute visit.
The riSCC model was published in the Journal of the American Academy of Dermatology in 2025 (PMID 40024391). It needs 10 clinical inputs and returns risk for 5 outcomes across 3 treatment options. The client had never built software before. They needed a partner to explain each step, give a realistic estimate and keep the budget.
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10
clinical inputs on two short screens
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15
results at once: 5 outcomes × 3 treatment paths, each with a 95% confidence interval
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0
patient records stored
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3
platforms: iOS, Android, web
How we delivered it.
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Plain-language estimate.
Before any code, we explained the options (where the model runs, what is stored, how apps reach the stores) and gave a fixed timeline and budget.
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Design for time pressure.
We tested two layouts and kept the one where all results update on one screen as the doctor types.
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Privacy by design.
The first version stores nothing. Data lives only on the screen and is gone when the doctor closes it, so no patient data ever leaves the visit.
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Model kept in its original language.
The statistical model stays in R, in a container behind a secure API. When researchers update the model, the app does not need a new release.
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Published and automated.
Free apps in the App Store and Google Play, a web version, and automatic deployment from GitHub.
The result.
- Delivered on time and under budget (in the client's own words).
- Free for medical professionals worldwide (pro bono).
- An architecture that can grow: optional sign-in and anonymous result history for long-term studies were designed and are ready if the research team needs them.
Have a model, a study or a clinical tool that should be an app?
We will help you scope it, keep patient data safe and get it into the hands of clinicians.
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