cancer is divided into three subgroups, which also differ genetically from one another. "In various studies, we have already identified certain bacterial compositions in the bile or stool of patients with [...] response against tumors and interact with the bacteria. Determining bacterial flora In preliminary studies on patients with liver cancer, Dr. Heinrich has already established that a change in the intestinal
palliative care in Germany and developing recommendations for improvement (Polite): A study protocol for a mixed-methods study. PLoS One. 2021;16(9):e0256467. DOI: 10.1371/journal.pone.0256467 (PLoS One) Ülgüt
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Nutrition and dietary advice with practical assignments and exercises Hygiene/toxicology and legal studies How does the training at the MHH work? The training lasts 3 years and comprises 4450 hours. Of these [...] € 1,340.80 3rd year of apprenticeship: € 1,437.53 (as at 02.2025) What are my working hours? You study for 38.5 hours per week. Start of work for lessons: 08:00 Start of work for the training kitchen (1-2
Professor Schegelberger for her many years of work and the many impulses she has set. Nataliya Di Donato studied at the Medical University of Kharkiv, Ukraine, and received her doctorate from the Faculty of Medicine
This is the best way to prevent tooth decay and inflammation of teeth and implants. Scientific studies have shown that the participation of patients in structured prophylaxis programs significantly improves
systematic use of RWD also offers great potential for the planning of academic investigator-initiated studies. The "Real World Data Days" series is to be continued, not least due to the great interest and the
Teaching Human medicine Model study program HannibaL The Institute participates in the cross-year curriculum Pharmacotherapy and Medical Science. Academic year 1: Participation in the Propaedeutic module
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air pollution data as well as biosignals obtained from wearables. Furthermore, data from research studies are included, among them longitudinal data from the German COPD cohort. Machine learning and artificial