AIM OF THE TOOL

The main aim is to provide a free, user-friendly on-line interface of an ad-hoc developed algorithm that evaluates the effects of genetic/demographic AD-related factors (APOE, age and sex) on the detected biomarker cut-offs. The idea is to allow people non-familiar with the R package to use this powerful instrument for improving the disease understanding and to create a platform for collaboration of different centers and researchers.

The algorithm allows to:

1. detect the presence of subgroup population in AD biomarkers distribution,
2. to identify corresponding cut-offs that allows to classify subject/patients in terms of prognostic evaluation;
3. (importantly) to evaluate the effect of genetic/demographic AD-related factors (APOE, age and sex) on the identified subgroup population, i.e. to evaluate if and how AD risk factors influence the biomarker cut-offs extraction in order to improve the prognostic evaluation.

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DATA USAGE AND MANAGEMENT

Here a brief explanation of data management criteria

• Data are saved anonimized / pseudonimized (with reference to upload user)
• Data are saved only temporaly on our server and just to provide enough time to process and to retrieve data
• only recent job submitted are shown and available to download to cope with previous non-persistence data policy
• jobs calculation are automatically deleted from system archive 4 week after processing

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OUTPUT

How to read data:

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