DysKalc Application icon

DysKalc 1.0

23.1 MB / 0+ Downloads / Rating 5.0 - 1 reviews


See previous versions

DysKalc, developed and published by Bruno Lopes Santos-Lobato, has released its latest version, 1.0, on 2024-12-25. This app falls under the Medical category on the Google Play Store and has achieved over 10 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

DysKalc APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.4+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.bruno.android.app.appbruno

Updated: 1 month ago

Developer Name: Bruno Lopes Santos-Lobato

Category: Medical

Installation Instructions

This article outlines two straightforward methods for installing DysKalc on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

DysKalc 1.0
2024-12-25 / 23.1 MB / Android 4.4+

DysKalc 1.0
2018-07-25 / 21.1 MB / Android 4.0+

About this app

DysKalc was created to help neurologists in decision-making process regarding therapeutic management of Parkinson’s disease, aiming to a more personalized approach. The clinician can estimate the actual odds of a patient using levodopa to develop dyskinesias in every consultation. Calculated predicted probability of each evaluation is stratified in 2 groups: low and high probability, based on a specific cut-off. Therapeutic management recommendations are suggested according to the calculated predicted probability.