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Medicine meets Artificial Intelligence.

Research, Development and Consulting in the era of AI
Life is beautiful. Let's keep it that way.
With a healthy perspective


As a young medical technology start-up we do interdisciplinary research in the field of dermatology.


Our research findings provide us with a solid basis to develop intelligent solutions as digital support for medical specialists. We believe that new intelligent approaches improve the diagnostics in medicine.    


With our work we would like to make a contribution to your health and wellbeing.

Connecting know-how


avisé labs aims to make progress in dermatology. This can only be achieved in cooperation between science and practitioners. We are connecting both worlds.  

What we do for our clients

„Data ist the Gold of the 21st Century“
Our Services: Consulting & Software Development
Smart Health Data

In the health care sector many companies or clinics already have data and do not know how to use them. Other companies or clinics would like to generate data and evaluate it effectively and meaningfully. But usually they face questions, e.g.: What has to be considered? What options do I already have? What can I do with the information? How can data from different systems be brought together? How can relevant data be recognized and correctly stored? This is where we come in. We consult and support our customers in the field of data analysis and development of software solutions based on machine learning algorithms. Our range of services within the following phases gives you an idea on how a machine learning project can look like:

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1. Phase
Identify Customer Problem

Through customer-oriented discussions we identify the customer problem and define the goal from a business point of view.

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2. Phase
Gathering Data

If our customer already has data for the current problem, we will sift the existing database. Among other things this includes determining the size and structure of the data. If our customer has no data, we first analyse which and how much data is required. Together with the customer we then develop a strategy for the acquisition of data and finally sift through the new database.

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3. Phase
Data Content Analysis

Having data available, a structured content analysis of the database in cooperation with our customer is applied. We identify correlations between attributes and document the results.

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4. Phase
Prepare Database

The next step is to further prepare the database. We clean up the database, remove irrelevant information, standardize or normalize attributes.

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5. Phase
Machine Learning Models

Finally, we develop customized machine learning models (e.g. linear model, neural net) and select the top 3 - 5 models, which have performed best on the training and test data set.

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6. Phase
Test and Validate System

We test and validate the selected models intensively together with our customer. Among other things we optimize the parameters of the models. Finally, the model that has achieved the best results is identified. At the end of the day we make the customer's AI-System ready for production.

Sounds complicated and expensive?

Analysing data and developing intelligent software solutions based on machine learning algorithms is a complex task.
 But that doesn't have to be expensive.
 Just contact us so we have a chance to understand your problem. 
We will then give you first insights on how we can help you and how much your project will eventually cost.
News & Current Topics

COVID-19 Update

COVID-19 Update

Due to the rapid spread of coronavirus we have taken every precaution to work remote on our projects. In-person meetings, ...
Read more …
Artificial Intelligence and Beauty

Artificial Intelligence and Beauty

Artificial intelligence (AI) and genetic tests will revolutionize diagnostics and therapies in aesthetic medicine in future. The German magazine “Bild ...
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The Beauty of AI

The Beauty of AI

avisé labs attended the 5 Continent Congress in Barcelona from August 29 - September 1, 2019.Within the session 'Decoding the ...
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Our          Partners

Management Team

Marius Khan holds a Bachelor and a Master of Science degree in computer science. During his previous work in science and research, he focused on the field of machine learning and gained experience in project management within numerous IT projects. Until 2019 he was a lecturer at the Department of Computer Science at the Dortmund University of Applied Sciences, Germany, and taught in the field of software engineering.
Marius Khan, M.Sc.
Chief Executive Officier (CEO)
Georg Khazaka has a Master Degree in Economics and Business Administration from the University of Wuppertal, Germany. He has as well gained many years of experience in the cosmetics industry and working within this particular sector for more than 15 years. Besides his experience with research and development, he also helps to create marketing ideas for customers on a global basis. He is a member of the International Society of Biophysics and Imaging of the Skin.
Dipl. Oek. Georg Khazaka
Dr. med. Darius Alamouti is one of Germany's best-known specialists in aesthetic medicine and head physician at his clinic Alamouti Aesthetic & Skin. Darius supports our research at avisé labs with his medical know-how and practical experience.
Dr. med. Darius Alamouti
Chief Medical Officier (CMO)
Prof. Dr. Sabine Sachweh is a professor in software engineering at the Dortmund University of Applied Sciences. She is a co-founder of the Institute for the Digital Transformation of Application and Living Domains (IDiAL), which emerged from the same university. She was appointed to the Data Ethics Commission of the German Federal Government on 18 July 2018. As scientific advisor she supports avisé labs in knowledge management.
Prof. Dr. Sabine Sachweh
Chief Knowledge Officier (CKO)
Since you are here...

… we are always excited to get in contact with you, new people, projects, ideas and more. 
Please do not hesitate and send us a message for your request.