International consensus highlights the importance of molecular testing for antibiotic resistance in tuberculosis

A multidisciplinary group of tuberculosis experts from the TBnet and RESIST-TB networks have reached a consensus on key issues related to the molecular prediction of Mycobacterium tuberculosis antibiotic sensitivity or resistance and its clinical implications. The consensus document provides guidance for the design of therapeutic regimens and the optimization of treatments, and is intended to help clinicians manage tuberculosis patients.

Researchers develop an AI-based method to replace chemical staining of tissue

Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based method for virtual staining of histopathological tissue samples as a part of the Nordic ABCAP consortium. Chemical staining has been the cornerstone of studying histopathology for more than a century and is widely applied in, for example, cancer diagnostics.