Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2 To date, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative pathogen of coronavirus disease 2019 (COVID-19), has caused more than 93.21 million infections worldwide. As it spreads through different populations, it undergoes adaptations that sometimes affect its transmissibility and other biological characteristics. An interesting preprint on the bioRxiv* server describes the use of deep learning with image recognition technology to trace the emergence of variants with increased viral fitness. Higher fitness leads to rapid expansion of these lineages in the areas where they are introduced. This type of study could facilitate the development of more effective antibodies and vaccines to help contain the pandemic.