Helping diagnose early genetic Frontotemporal Dementia

Author

Alexander Kenney

Co-founder of KareInn

London, United Kingdom

"We didn’t have the in-house resources, so we hired BusyMachines as an external partner. They managed the project effectively—we always felt understood and communicated with. They’ve met all deadlines and give us exemplary communication; language and time differences were not issues."

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  • Client: KareInn
  • Time to market: 3 months
  • Industry: Healthcare

  • Product

    iOS app for the early detection of genetic Frontotemporal Dementia based on user behaviour in visual games.

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  • Value proposition

    Scalable and cost effective early detection of dementia.

  • Our delivery team — 1.0 FTE

    1.0Mobile

Delivery timeline

  • MVPDuration: 3 months

    Service: Dedicated Software Teams

    BusyMachines implemented the mobile app. We had 100+ app deployments in early research groups during the first month after launch.

  • Post MVPDuration: 1+ months

    Service: Dedicated Software Teams

    BusyMachines provided continuous software development with a dedicated agile team. The main objective was to integrate the feedback provided by early adopters. We worked with short development cycles and released every two weeks.

  • Maintenance

    Service: Dedicated Software Teams

    Software maintenance & support delivered as part of the "Post MVP" development effort.

The vision of Ignite

The IGNITE application's objective is to help healthcare professionals diagnose genetic Frontotemporal Dementia from its early stages. The main app demographic is represented both by people who have developed symptoms and people who are at risk of developing symptoms in the future because they carry an abnormal genetic mutation.

The app includes tests specifically developed to speed up dementia diagnosis and understand the disease's development from early stages. The key objective of GENFI is to develop markers that help identify the disease and track its progression. These markers will be used in future clinical trials of drugs in genetic FTD.

The work of BusyMachines

For the Proof of Concept (PoC) phase, BusyMachines built an iPad mobile application with 30+ visual puzzles & games. The app also works offline.

  • Technology stack

    MobileiOS / Swift

  • Deliverables

    Mobile App iOS —

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