About AURA

Research context, mission, and the ethical foundation behind AURA.

The background of the AURA project: why it started, how it approaches diagnostics and research, and what kind of collaboration and data responsibility shape the product.

Mission

One app, one mission.

Empowerment through knowledge

The AURA project is for everyone seeking alternatives to hormonal contraception and wanting to better understand their discharge as a key health indicator. The app enables structured tracking of visible symptoms and their development over time.

If you want to learn more about cervical mucus, the most common and natural type of vaginal discharge, click here.

Better diagnostics for all

The app supports users, consultants for hormone-free contraception, and gynecologists. Continuous tracking establishes a structured data basis for consultation and diagnosis. Everyday pictures fill the gaps between practice visits and can support more precise assessments.

Ethics and data responsibility

Built to handle sensitive health data with care.

We guarantee the highest level of care and GDPR compliance. This includes the pseudonymization of the dataset before any publication and the use of servers located within the EU.

AURA was started for transparent and sustainable health-data collection in the machine learning context. Read more about how we handle your data on our consent page.

Scientific context

Real-world data for future research and diagnostics.

The resulting dataset forms the basis for machine learning research that can classify discharge types according to the symptothermal method. The new approach is that data is collected directly in everyday life, while the app provides structure and quality guidance.

With AURA, the team aims to create a useful and distinctive dataset that can support immediate user value while advancing long-term work on image data collection and processing for women's health.

Research

Growing through active research.

AURA was born from university projects and is connected to master's-level research at HTW Berlin.

Our origin

AURA was born from university projects and is connected to master's-level research at HTW Berlin.

The work explores how computer science and machine learning can support medicine in ways that are actually useful for people.

Image analysis for learning support

Our research focuses on image analysis and scientifically grounded model development for cervical mucus observations.

The goal is not to replace judgement or professional support, but to help users understand what they are seeing more clearly, especially in the beginning.

Interested? Say Hi at hello@dischargediary.com.