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Charité - Universitätsmedizin Berlin


Machine learning improves the diagnosis of patients with head and neck cancers

Researchers developed a new classification method using artificial intelligence to identify primary cancerous tissue in head and neck cancers. The method achieved an accuracy of over 99% in distinguishing between primary lung squamous cell carcinomas and head and neck metastases, offering potential benefits for patients.

SourceCharité - Universitätsmedizin Berlin·JournalScience Translational Medicine·DateSep 12, 2019

How viruses outsmart their host cells

Scientists have deciphered the process by which viruses induce their hosts to transcribe viral genetic information, producing daughter viruses. The discovery sheds light on the 'viral exploitation' mechanism used by bacteriophages, such as lambda phage, and may contribute to the development of new antibacterial drugs.

SourceCharité - Universitätsmedizin Berlin·JournalMolecular Cell·DateMar 6, 2019

Bungee jumping for science

For the first time, researchers from Charité - Universitätsmedizin Berlin have measured the 'Bereitschaftspotential' (readiness potential) outside a laboratory and under extreme conditions. This finding will help advance brain-computer interface development, enabling quadriplegics to control neuroprosthetics and regain hand function.

SourceCharité - Universitätsmedizin Berlin·JournalScientific Reports·DateFeb 28, 2019

Balancing the gut

A study by researchers from Charité - Universitätsmedizin Berlin has identified a molecule, c-Maf, that regulates the balance between the immune system and gut microbiota. This finding may lead to new therapies for chronic inflammatory bowel disease.

SourceCharité - Universitätsmedizin Berlin·JournalNature Immunology·DateFeb 26, 2019