A new AI‑based method, led by the University of Granada, brings the rapid identification of Mycobacterium abscessus subspecies closer to clinical practice.
The combination of data from six European hospitals and machine‑learning techniques enables the University of Granada to improve the identification of one of the most difficult‑to‑classify nontuberculous bacteria A team of researchers from the Department of Computer Science at the University of Granada and the DaSCI – Andalusian Research Institute in Data Science and Computational […]