MGI Tech Co., Ltd. (MGI), a company committed to developing core tools and technologies that drive innovation in life sciences, today ...

From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?

A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed ...

Spatial biology technologies are reshaping modern biomedical research by enabling the visualization of cellular organization ...

Discover why animal models fall short in AI drug discovery and how human-first datasets and functional genomics are changing ...

Why do so many promising drugs fail? This article explores how spatial multiomics reveals hidden cell interactions, helping scientists identify stronger targets, predict outcomes earlier, and reshape ...

Background Most patients with biliary tract cancer (BTC) do not derive durable clinical benefit (DCB) from immune checkpoint inhibitors (ICIs), underscoring the urgent need for predictive biomarkers.

Throughout our lifetime, each beat of the heart requires the coordinated action of multiple cardiac cell types. Understanding cardiac cell biology, its intricate microenvironments, and the mechanisms ...

Cancer Res (2026) 86 (7_Supplement): 1442. Tumor purity, defined as the proportion of malignant cells within a tumor region, is a critical factor in cancer research and clinical practice. Accurate ...

Spatial biology is a rapidly advancing discipline that examines biological molecules (such as DNA, RNA, and proteins) within their native locations in tissues. This approach offers critical insight ...

Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...