AI and data science are no longer specialist skills confined to computational biology departments; they are core tools of the modern life science research workflow. From machine learning (ML) models ...

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Virtual AI-informed immunocyte profiling (VAIP) from H&E as a predictor of multi-cancer prognosis. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This abstract does not include ...

Spatial EcoTyper is a versatile framework for identifying spatially distinct multicellular communities, termed spatial ecotypes, from single-cell spatial transcriptomics data. In addition, it provides ...

stCAMBL uses three views to construct the contrastive learning framework. Every view utilises a masked autoencoder with special masking strategies to learn a a low-dimensional expression and a ...

This valuable study identifies and characterizes probe binding errors in a widely used commercial platform for spatial transcriptomics, discovering that at least 14 out of 313 genes in a human breast ...

Psoriasis is a common chronic inflammatory skin disease. Treatments lead to Q6 substantial improvement of most psoriasis plaques. However, it can be challenging to reach disease resolution in certain ...

Sjögren’s disease (SjD) is the second most prevalent rheumatic disease and is characterized by autoimmune pathology targeting the tear-producing lacrimal glands, leading to chronic ocular surface ...

A new spatial transcriptomic approach captures the regulation of splicing and polyadenylation sites during pubescent brain development at near-single-cell resolution. An international collaboration, ...

Characterizing spatial variations in gene expression with cell type specificity is crucial for understanding complex traits and diseases, yet it remains challenging. Here, we introduce the Mixture of ...