Cell Classification

Cell classification, the task of identifying and categorizing different cell types, is crucial for advancing biological understanding and improving disease diagnosis. Current research focuses on developing robust and accurate classification models using various techniques, including deep learning architectures like transformers and graph neural networks, often incorporating multi-modal data (e.g., microscopy images and gene expression profiles) and addressing challenges like data imbalance and batch effects. These advancements are significantly impacting fields like hematology and oncology, enabling more precise diagnoses, improved treatment strategies, and a deeper understanding of cellular processes in health and disease.