Aignostics, a spin-off of Charité – Universitätsmedizin Berlin and alumnus of the Berlin Institute of Health Digital Health Accelerator Program, has been named to Newsweek’s inaugural ranking of the “World’s Best Digital Health Companies 2024.”
On 28 February 2024, the team from Charité BIH Innovation (CBI) - the joint technology transfer of Charité - Universitätsmedizin Berlin and the Berlin Institute of Health (BIH) - was delighted to receive a visit from Prof. Heyo. K. Kroemer, Chairman of the Executive Board of Charité, Prof. Dr Joachim Spranger, Dean of Charité, Prof. Dr Christopher…
Twice a year, the start-up competition Gründungswettbewerb – Digitale Innovationen by the Federal Ministry for Economic Affairs and Climate Protection's (BMWK) honors the best ideas of innovative start-ups that are based on digital technologies. The award supports start-ups in the early stages and emphasizes their key role as drivers of innovation…
On May 31, 2023, the sixth annual Demo Day of the BIH Digital Health Accelerator Program took place, bringing together a diverse group of innovative minds in the heart of Berlin. The event, hosted by the Berlin Institute of Health at Charité (BIH), showcased seven exceptional teams of Charité/BIH clinicians and researchers presenting their digital…
An interdisciplinary team led by Prof. Angela Relógio, a scientist at Charité’s Molecular Cancer Research Center (MKFZ) and Institute for Theoretical Biology and the MSH Medical School Hamburg, has developed a non-invasive method for profiling a person’s unique circadian rhythm. Starting with a simple saliva sample, the team of experts can create a…
The Gütig lab uses analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in central nervous systems and to understand how these principles are implemented by biological processes. Specifically, the lab focuses on the role of action potential timing in sensory…
The Medical Omics lab aims to improve healthcare and basic research by providing artificial intelligence-driven tools for the analysis of large biomedical datasets. For comprehensive insights in disease entities, we aim to include multiple layers of data, such as single-cell RNA sequencing, methylomics data and medical imaging. In close…
Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods.…
The main research area of the Bioinformatics and Translational Genetics group is the elucidation of single gene disorders (diseases caused by DNA mutations in a single gene). We are developing user-friendly software that can be used by non-IT specialists. This allows the physicians – who know most about the patients and their disorders – to analyse…