Editorial: Artificial intelligence in forensic microbiology, volume II.

This article is an editorial published in Frontiers in Microbiology, discussing the use of artificial intelligence in forensic microbiology. The field of forensic microbiology involves examining microbial characteristics to determine sources and transmission pathways for legal purposes. The article specifically focuses on the use of artificial intelligence in identifying the spread of pathogens and assessing the damage caused by transmission. The authors highlight studies on the use of deep learning methods to predict epilepsy in glioblastoma patients and the application of machine learning in HPV detection and forensic bacterial identification. They also emphasize the need for collaboration between forensic researchers and experts from other fields to improve feature extraction methods. [Extracted from the article]