This article provides a comprehensive overview of the principles and applications of organoid self-organization and differentiation, a revolutionary technology in modern biomedical research.
This article provides a comprehensive resource on the hanging drop technique for generating three-dimensional (3D) multicellular spheroids.
Organoid biobanking has emerged as a transformative platform for personalized medicine, disease modeling, and drug development.
This article provides a comprehensive overview of 3D organoid models, self-organizing three-dimensional structures derived from stem cells that mimic the architecture and function of human organs.
Single-cell Foundation Models (scFMs), pretrained on millions of cells, are revolutionizing the analysis of cellular heterogeneity and function.
This article provides a comprehensive framework for benchmarking single-cell functional medicine (scFM) models in clinical cancer outcomes using real-world data (RWD).
Single-cell Foundation Models (scFMs) represent a paradigm shift in computational biology, promising to unlock deep biological insights from single-cell RNA sequencing data.
Single-cell foundation models (scFMs) are large-scale AI systems, pre-trained on millions of single-cell transcriptomes, that are revolutionizing the analysis of cellular heterogeneity.
This article provides a comprehensive guide to benchmarking protocols for computational models that predict cellular responses to genetic and chemical perturbations.
Accurate cell type annotation is a critical, yet challenging, step in single-cell RNA sequencing analysis.