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Project

Gefyra Health

Gefyra Health is a spin-off from the Max Planck Fellow Group for Precision Psychiatry. We combine years of experience in research, machine learning methodology, software development and application to maximise the power of data for improving mental wellness of people. Through our consultancy services and products, we have the ability to integrate at different stages
of the value creation chain to achieve and enhance AI assisted prevention, prediction and diagnosis recommendations in mental health.

We have the following prototypes available:

  1. NeuroMiner Model Library: a platform for clinicians and researchers to convert their findings
    into applicable AI web-apps for validation and further experimentation.
  2. ELSA predictor: A minimal viable product which helps general public to gain in-depth knowledge of their mental health conditions and provide individualised recommendations to strengthen their mental wellbeing.
Start-up phase
Area: Mental health and Psychiatry
Goal/ Vision: Gefyra Health aims to provide AI assisted prevention, prediction and diagnosis solutions in the filed of mental health to researchers, clinicians, patients and the general public. We are harnessing the power of medical data through AI.
Institute: Max Planck institute of Psychiatry, Ludwig Maximilian University of Munich, King’s College
London
Contact:

Mark Sen Dong, MSc: sen.dong@med.uni-muenchen.de
Machine Learning Researcher, Max Planck Institute of Psychiatry
Lead Machine Learning Engineer / Full-stack developer / PhD candidate, Ludwig Maximilian University of Munich

Prof. Dr. Nikolaos Koutsouleris: nikolaos.koutsouleris@med.uni-muenchen.de
Research Group Leader, Max Planck Institute of Psychiatry
Professor for Precision Psychiatry / Senior Physician, Ludwig Maximilian University of Munich
Professor for Precision Psychiatry, King’s College London
Homepage: NeuroMiner-Model Library: http://proniapredictors.eu
ELSA-Prädiktor: https://www.elsahealth.co