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Welcome to the MHH
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Viral vectors

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more effective and targeted treatments of cardiovascular diseases and beyond. Contact: XXXX Key references: Costa, A, Hunkler, HJ, Chatterjee, S, Cushman, S, Hilbold, E, Xiao, K, Lu, D, Leonardy, J, Juchem

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MINT Meets Medicine

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Technology and Space in the funding priority "Future eHealth" Duration: 01.08.2025-31.07.2028 Funding reference: 01ZU2406

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Good life

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funded by the Innovation Fund of the Joint Federal Committee for the area of care research (funding reference 01VSF21040) for 36 months. Publications Stiel* S, Brütt* AL, Stahmeyer JT, Bockelmann AWE, Schleef

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Teaching and further education

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2021/2022 academic year will be posted on the Dean's Office page. For general course information, please refer to the Dean's Office homepage: https://www.mhh.de/medizinstudium/studienjahr4 Block practical surgery

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News

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scripts use the output of ‘scrnaseq’ and perform additional analyses such as cluster annotation with reference datasets or pseudotime analysis via Monocle3 upon it. The results are returned as user-friendly

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Ward 69

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oncology, pneumology and metabolic medicine, so that newborns with diseases from these areas are also referred to us from all over Germany. Our Nursing is based on the MHH mission statement and the nursing concept

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Ward 78

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recommend that you do not bring any valuables or large amounts of money with you. Visitor rules Please refer to the MHH homepage for information on the current visitor regulations and, to be on the safe side

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Patients

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t at our Clinical Department with your neurology practice. For inpatient admission, you must be referred by your neurology practice. The appointments are coordinated by our bed management team. Please

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Ward 33

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program, healthcare and nursing trainees and interns work on the ward. They are assigned fixed reference persons as mentors and are supported and deployed depending on their qualifications. Practical training

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Research projects

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medical artificial intelligence: What do we need and what can we get? The umbrella term explicability refers to efforts to reduce the black box character of artificial intelligence (AI) systems. These efforts

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