Research highlights | Amsterdam UMC

IMI ImmuneImage The objective of Immune-Image is to develop a novel non-invasive imaging strategy for assessing immune cell activation and dynamics.

Ongoing

Database Find out about our AII researchers in this database. The purpose of our database is that the researchers of AII can find each other based on name, research topic, technology, disease etc.

Completed

ARCAID - Amsterdam Rheumatology Center for AutoImmune Diseases ARCAID allows us to bring together 20 of the most talented young researchers in biomedicine from all over the world with top translational scientists.

Ongoing

Germline biomarkers of melanoma immunotherapy: an international consortium Biomarkers that predict immunotherapy treatment success or risk of toxicity are urgently needed, to increase clinical benefit of metastatic melanoma patients.

Ongoing

Lyme borreliosis: diagnosis and management Chronic symptoms attributed to Lyme borreliosis can be challenging to diagnose and treat. This state of the art and systematic review in the BMJ by Kullberg and collaborators offers a roadmap for physicians how to provide the best possible and personalised care for their patients.

Ongoing

Pharmacokinetic and pharmacodynamic target attainment of antibiotics in different patient populations The adequacy of currently used dosing regimens of ciprofloxacin and ceftazidime are explored and if required improved.

Ongoing

Artificial bihormonal pancreas in patients after total pancreatectomy (APPEL 5+) AGEM Inreda Diabetic BV developed the first artificial bihormonal pancreas (AP) to improve treatment of diabetes by automatically controlling glucose concentrations.

Completed

Clinical and translational research in patients with polyposis syndromes AGEM One of our main goals in clinical research in patients with polyposis syndromes is the optimization and personalization of endoscopic surveillance.

Ongoing

From disease transcriptome to drug discovery AGEM Researchers at the Laboratory Genetic Metabolic Disease are looking at drug development in a different way. Their computational pipelines are greatly accelerating the drug discovery process.

Completed

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