AI can improve predictions of sudden cardiac death in patients with common heart condition

Medical images contain a wealth of information beyond what is visible to the human eye. Now, scientists are using radiomics, a relatively new form of AI that uses a quantitative approach to medical imaging, to extract much more of the data captured in medical images, which can then be used to better understand disease and to predict patient outcomes.

Fine-tuning antibodies for treating tumors and infections

Antibodies are crucial, not only for treating tumors and infections. Sometimes, however, the immune reaction they trigger can be too strong and end up causing more damage, for example in the case of people infected with COVID-19. Problems such as these can often be avoided by fine-tuning antibodies, as Prof. Dr. Falk Nimmerjahn from Friedrich–Alexander University and two of his colleagues in the Netherlands and in the UK have reported in the journal Nature Immunology.