Our news


Spotlight on deepHEALTH

The research project deepHEALTH is presented on the website of the research funding programm "Forschung an Fachhochschulen" of the Federal Ministry of Education and Research. The article presents in discussion with the principal investigator Prof. Dr. Herta and research scientist Dr. Krumnow the content and aims of the deepHEALT project.

Link to the german article


App launched by the Visual Computing group

The Visual Computing research group of Prof. Kai Barthel and Prof. Klaus Jung of the HTW Berlin, University of Applied Sciences has released two apps that help to find images faster on the Mac. While "Kiano" lets you navigate with simple gestures through a visually sorted map of all your own photos, "PicArrange" allows to display images from multiple folders like in the Finder app, with the additional option of sorting the images by content and color. Large amounts of images can be viewed and searched much faster with these apps. In addition to the visual sorting of images, the apps offer a similarity search, which helps to find images similar to one or more example images easily. Image files can be deleted, copied or opened with Preview.

Website of the Visual Computing Group
PicArrange tutorial on visual-computing.com
Download Kiano from visual-computing.com
App Store link to PicArrange


Second International Summer Institute on Network Physiology

Physiological networks can improve the interactions between organ systems on the basis of biosignals from sleep medicine and are therefore a long-standing research topic at CBMI. At this year's "International Summer Institute on Network Physiology. international symposium on this topic, the CBMI was represented with three Participants and poster presentations on the sleep disorders Insomnia and parasomnia, as well as the statistics method "Granger causality", represented.

More: Conference


  1. Physiological networks in insomnia patients. Authors: Dagmar Krefting, Christoph Jansen, Stephan Hodel, Stefanie Breuer, Martin Spott, Thomas Penzel

  2. Physiological Networks in Non-REM behavioral sleep disorders. Authors: Christoph Jansen, Geert Mayer, Anna Heidbreder, Dagmar Krefting

  3. Granger Causality Analysis of polysomography data in the framework of network physiology studies. Authors: Anja Willuhn, Dagmar Krefting



Vital parameters monitoring self-built - from the sensor to the presentation on the display of a smartphone

The Remo²hbo (robust and repairable vital signs monitoring) was created by a cooperation of the two Berlin universities HTW and Beuth with the humanitarian aid organization CADUS e.V., as well as the CBMI. The cost-effective open hardware allows the measurement of blood pressure, heart rate, body temperature and oxygen saturation. An ECG can also be derived. At the re;publica19 the team, headed by Prof. Dr. Ing. Krefting, presents the current prototypes in a workshop in order to illustrate the planned fields of application in humanitarian missions to the visitors.



On 16 and 17 April the second ASCLEPIOS meeting was in Limassol, Cyprus. The progress made so far and the tasks for the next six months were discussed. The results of the work packages were presented, previous successes were discussed and technical safety requirements were partially defined. As additional content, there was a presentation on the GDPR.



DMEA Berlin 9-11 April 2019

The DMEA (Digital Medical Expertise & Applications) trade fair took place in Berlin from 09-11 April 2019. The CBMI was there with a presentation "Fitness Tracker: useful tool or safety risk?“ The data flow of five Fitness Tracker Apps was analyzed and the results presented at the DMEA.

More information can be found on the DMEA website: https://www.dmea.de/.


EFMI Special Topics Conference 2019

The EFMI Special Topics Conference 2019 was held between 7th and 10th of April in Hanover. Two of the CBMI-hosted projects (BB-IT-Boost and IHDH) attended the conference and presented their results for the extension of the XNAT open source document management software with a FHIR-complient communication interface.

You can find more information on the website of the STC 2019 (https://stc2019.plri.de/).


H2020-Project "Asclepios" Kick-Off Meeting

On January 17th and 18th the international project team of the Horizon 2020 project ASCLEPIOS met in Athens (Greece) for the project kick off meeting. The project members used the opportunity to personally meet and get to know each other. Additionally first project deliverables were discussed.

Members of IHDH and of the project BB-IT-Boost (which is part of the CBMI) participated in the meeting and presented their projects, the CBMI and IHDH. They will work together with the other project members to develop new technologies for the secure storage and processing of medical data in cloud infrastructures.

The CBMI will develop a demonstrator in cooperation with Charité Berlin that implements these new technologies and acts as a proof-of-concept application for successfull transfer of project results to near-market-ready health-applications.

Please visit the website of the ASCLEPIOS project to find more information: https://www.asclepios-project.eu/


SME Conference 2018

SMEs shape digitization

As part of the Federal Government's high-tech strategy, innovation partnerships are a major guarantor of success for the future. Perspectively, the competitiveness is to be increased by joint research and development projects of innovative products in order to create sustainable and long-term jobs.

At CBMI we already live these topics, true to our motto: "Forschung.Innovation.Inkubation".

The colleagues of the CBMI presented various projects and cooperations on site, participated in the discussion forums and exchanged new research ideas with potential project partners within the scope of the "Science-Datings".


CCGrid 2019 - Workshop on Clusters, Clouds and Grids for Life Sciences

As part of the 19th International IEEE / ACM Symposium on Cluster, Cloud and Grid Computing (14-17 May 2019 Larnaca, Cyprus), Prof. Dr. Dagmar Krefting leads the Workshop on Clusters, Clouds and Grids for Life Sciences.

Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine. Besides established fields like molecular dynamics, genomics or neuroimaging, new emerging methods like deep learning models rely heavily on large scale computational resources. These new methods need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data. Today, many areas in Life Sciences are facing these challenges.

Distributed IT-systems such as Grids, Clouds, Fogs and Big Data Environments are promising to address research, clinical and medical research community requirements, eg a significant reduction of computational time for running large experiments and for speeding-up development time for new algorithms.

This workshop, that has been running for several years now, aims at bringing together developers of bioinformatics and medical applications and researchers in the field of distributed IT systems. The goals of the workshop are to exchange and discuss existing solutions and latest developments in both fields, and to identify the remaining challenges. The workshop further intends to identify common requirements to lead future developments in collaboration between Life Sciences and Computing Sciences. It aims to explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.

The exploitation of distributed IT resources for Life Sciences, HealthCare and research applications (eg in medical imaging and bioinformatics), the use of clouds for big data management in bioinformatics and medicine as well as the application of machine learning and deep learning experiences in Life Sciences are just a few examples of "Topics of Interest".


Research Award 2018 goes to Prof. Dr. Dagmar Krefting

Since October 2009, HTW Berlin awards an annual prize for outstanding performance in applied research and in cooperation with commercial enterprises.

HTW President Prof. Dr. Klaus Semlinger paid tribute to Prof. Dr. Krefting as an ambitious researcher, who has had impressive successes in the acquisition of third-party funds, as well as a successful author and a sought-after speaker at conferences. As an outstanding individual researcher as well as a convinced team player, the scientist contributed a lot to establishing health research as a focus and to making the interdisciplinary competences of the university visible in this future field.

The research prize is endowed with 6.000,00 Euro. Prize money may be used by the award winners at their own discretion for research purposes.


Approval of the BMBF project "deep.HEALTH", analysis of medical data with methods of deep learning

The project will start on 01.10.2018 and will be carried out in cooperation with the companies medneo Deutschland GmbH, Kairos GmbH, Tembit GmbH and VMscope GmbH as well as the Charité-Universitätsmedizin Berlin and the Technical University Berlin. The research project aims to transfer the latest findings in the field of machine learning, in particular deep learning, to medical problems. The aim is to investigate how this can contribute to more differentiated diagnoses and personalized therapies. For this purpose, problem solutions (algorithms) for special clinical questions are to be developed, which can serve as a basis for software applications in everyday clinical practice. The planned focus is on the analysis of data from imaging techniques (radiology, endoscopy, pathology) as well as the processing of complex signal data sets (oncology, molecular pathology, somnology) using neural networks, which are trained by supervised, unmonitored learning and Reinforcement Learning (RL).

The contents and further information about the project will be published shortly on our homepage.


Grant agreement for the project "ASCLEPIOS", international consortium

In collaboration with 11 well-known international institutions and companies, such as the british University of Westminster, RISE SICS AB as the leading research institute for applied information and communication technology in Sweden and the German Charité-Universitätsmedizin Berlin the idea of "ASCLEPIOS" were discussed. ASCLEPIOS was submitted as an application under the Horizon 2020 funding program titled "Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare". The goal of ASCLEPIOS is to maximize and fortify the trust of users on cloud-based healthcare services by developing mechanisms for protecting both corporate and personal sensitive data. The so far only rudimentary existing security level should be optimized by the use of new technologies and also be extended by novel solutions for the users. The CBMI participates together with the Charité with a secured collaborative platform for clinical research. Today, the CBMI / IHDH has received the final commitment for the project from the European Commission. We look forward to the good cooperation with all involved parties and the lively exchange on an international level.

Detailed contents and further information about the project will be published shortly on our homepage.


Long Night of Sciences

Visit us on June the 09th from 17 o`clock to the "Long Night of Sciences". The CBMI presents current topics and projects, as well as cooperation opportunities. With our booth 058 we are located directly in the vicinity of the Spree shore, between the buildings G and H.

The following highlights we will introducing: Innovation Hub Digital Health: Healthcare of the future, 3D Handscan, NeuroRace: When machines learn and race cars drive themselves, Cybersecurity: Are your personal information safely protected??

We would be very happy about your visit!


Vital data for your own app

Prof. Dr. Dagmar Krefting and her research assistant Maryna Khvastova want to develop a device for non-invasive vital data acquisition. There are two approaches to this: a smart plaster and a 3D palm support surface, both of them are equipped with vital sensors. The collected data should be available for individual use in mobile apps. Perspectively, the later connection to accounting systems e.g. by health insurance companies and care services, is sought. The project is carried out in cooperation with the Berlin-based IT company Condato and funded by the Central Innovation Program for SMEs (ZIM) of the Federal Ministry of Economics.


AiF commitment for the "HAND" project, successful cooperation between condato GmbH and CBMI/IHDH

In May 2017, the idea of "developing a device for individualized, non-invasive vital data collection - HAND (health, activity, network, data) were discussed between the management of CBMI/IHDH, Prof. Dr. Krefting, and the representatives of condato GmbH. Subsequently, the necessary competences were defined within the CBMI/IHDH, a project plan was prepared together with the condato GmbH and the project was specified in the project description. Following the submission of the application in October 2017, the CBMI/IHDH has now been given the final approval for the implementation of the "HAND" project. We look forward to a good cooperation with the condato GmbH and another exciting project within the CBMI/IHDH.

The contents and further information about the project will be published shortly on our homepage.


Infrastructure for biomedical R & D projects

With the "CBMI-Lab", the infrastructure for the development and testing of innovative solutions for the digitization of the working world with a focus on biobanking, vital data analysis and digital pathology using deep learning is being established. For the CBMI, this is intended to establish another cooperation platform for research and development projects with industry. Under direction of Prof. Dr. Peter Hufnagl the implementation of this project should be realized within one year by involving the CBMI members and their interdisciplinary competencies.



News about CBMI will follow soon.