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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.