Reproducibility in immunological data is fundamental for robust scientific discovery and successful translational research.
Single-cell immune repertoire analysis has transformed our understanding of adaptive immunity by enabling high-resolution profiling of T-cell and B-cell receptor sequences at the individual cell level.
This article explores the transformative role of deep learning (DL) in predicting antibody-antigen affinity and T-cell receptor (TCR)-peptide-MHC binding, two critical interactions in immunotherapy development.
This article provides researchers, scientists, and drug development professionals with a comprehensive overview of microfluidic platforms for modeling vascular inflammation, with a focus on Transendothelial Electrical Resistance (TEER) as a...
This article provides a comprehensive resource for researchers and drug development professionals on the generation and application of functionally active adipose tissue-resident macrophages using advanced 3D culture systems.
This article provides a comprehensive guide to MiXCR, a powerful computational tool for immune repertoire analysis.
This article provides a comprehensive overview of in silico mechanistic modeling approaches for deciphering the complex immune response following burn injuries.
This article explores the transformative role of Bayesian optimization (BO) in computational antibody design, a field critical for developing new biologics.
This article explores the transformative role of multi-organ-on-a-chip (MOC) systems in advancing immunotoxicity studies.
This comprehensive review synthesizes recent advances in single-cell RNA sequencing (scRNA-seq) that are revolutionizing our understanding of thymus aging.