This article provides a comprehensive introduction to three-dimensional (3D) cell culture, a transformative technology offering more physiologically relevant in vitro models.
This article provides researchers, scientists, and drug development professionals with a definitive guide to three-dimensional (3D) cell culture models.
This article explores the pivotal role of three-dimensional (3D) cell culture technologies in replicating the complex tumor microenvironment (TME), addressing a critical gap in preclinical cancer research.
This article provides a detailed comparative analysis of scaffold-based and scaffold-free three-dimensional (3D) cell culture systems, essential tools for researchers and drug development professionals seeking more physiologically relevant in vitro...
This article provides a comprehensive framework for researchers and drug development professionals to evaluate the consistency between expert and automated data annotations, a critical bottleneck in building reliable AI models...
This article provides a comprehensive analysis for researchers and drug development professionals on the paradigm shift from traditional 2D to physiologically relevant 3D cell culture.
This article provides a comprehensive comparison of manual and automated data annotation accuracy, tailored for researchers and professionals in drug development and biomedical science.
This article provides a detailed exploration of VICTOR (Validation and Inspection of Cell Type Annotation Through Optimal Regression), a novel method for gauging the confidence of automated cell type annotations...
This article provides a comprehensive benchmark analysis for researchers and scientists in drug development, comparing traditional manual and modern AI-powered data annotation methods.
The integration of Large Language Models (LLMs) into single-cell RNA sequencing analysis promises to revolutionize cell type annotation by reducing manual labor and leveraging vast biological knowledge.