Phenotypic Data

Phenotypic data, encompassing observable characteristics of organisms or cells, is crucial for understanding biological systems and accelerating advancements in fields like precision medicine and drug discovery. Current research focuses on automating phenotypic data extraction from diverse sources, such as clinical text and high-content images, using large language models and deep learning techniques including generative models (like GFlowNets) and vision transformers. These efforts aim to improve the accuracy and efficiency of phenotyping, particularly for less frequent traits, enabling more robust analyses of complex biological processes and personalized treatment strategies.