AI Finds Hidden Patterns in Bacterial Growth

Researchers at Rice University developed a custom artificial intelligence system to study bacterial communities ^[1]. The AI decodes how Myxococcus xanthus bacteria organize themselves during complex biological transitions ^[1][2]. This system identifies morphological patterns that are invisible to the human eye ^[1]. The research was published in the journal PNAS ^[1]. Scientists used the AI to track structural changes in large groups of microbes ^[2]. This approach reveals how individual cells coordinate to form complex multicellular structures ^[1][2].