Researchers have found that applying deep learning to electron microscope images can distinguish drug-resistant bacteria from non-resistant bacteria with high accuracy. This new approach could lead to the development of technology that can automatically predict drug resistance based on changes in bacterial shape, without the need for drug-based screening.
