Center for Biomedical AI (bAIome) at UKE Hamburg
bAIome is the Center for Biomedical AI at the University Medical Center Hamburg-Eppendorf (UKE), founded in 2019. Its mission is to develop and translate Artificial Intelligence (AI) research into innovative solutions for clinical practice, aiming to improve and personalize healthcare. bAIome serves as a hub for biomedical AI research at UKE, fostering collaborative and interdisciplinary projects to develop novel AI approaches using clinical data. They offer consulting, planning, research, and implementation of AI projects with clinical relevance. Their infrastructure includes high-performance computing resources with NVIDIA H100 and NVIDIA DGX systems, a web service for application development via JupyterHub, and storage services. They also provide training and support for AI/ML models, from introductory concepts to advanced developer support. Their research covers areas like Imaging & Image analytics, Genomics & Transcriptomics, Computational Neuroscience, Text Mining & Electronic Health Records, and Multi-Type Data Integration.
Center for Biomedical AI (bAIome) at UKE Hamburg
bAIome is the Center for Biomedical AI at the University Medical Center Hamburg-Eppendorf (UKE), founded in 2019. Its mission is to develop and translate Artificial Intelligence (AI) research into innovative solutions for clinical practice, aiming to improve and personalize healthcare. bAIome serves as a hub for biomedical AI research at UKE, fostering collaborative and interdisciplinary projects to develop novel AI approaches using clinical data. They offer consulting, planning, research, and implementation of AI projects with clinical relevance. Their infrastructure includes high-performance computing resources with NVIDIA H100 and NVIDIA DGX systems, a web service for application development via JupyterHub, and storage services. They also provide training and support for AI/ML models, from introductory concepts to advanced developer support. Their research covers areas like Imaging & Image analytics, Genomics & Transcriptomics, Computational Neuroscience, Text Mining & Electronic Health Records, and Multi-Type Data Integration.