Large Language Models in Life Sciences and Pharmaceuticals

Large language models have the potential to streamline labeling in life sciences and pharmaceuticals. In fields like drug discovery and scientific research, there is often a need to analyze large amounts of imagery and detect specific cells or anomalies. By leveraging large language models, researchers can efficiently detect and classify cells, make inferences based on data from microscopy slides, and support scientific theses. These models can handle vast amounts of data and assist in tasks such as counting cells, measuring expected rates of duplication, and providing insights for cancer detection and drug administration evaluation.