MGI Tech Co., Ltd. (MGI), a company committed to developing core tools and technologies that drive innovation in life sciences, today launched Go Spatial in Europe and welcomed Omics Empower GmbH as a ...
A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed ...
Artificial intelligence (AI) may be transforming drug discovery, but one of the industry’s biggest problems remains unchanged: much of the biology used to develop new medicines still does not fully ...
The biotech bi-weekly: innovative model platforms, AI-optimized biotherapeutics and science in space
In this edition of the biotech bi-weekly, catch up on five innovative product launches – from lab balances to spatial solutions – and recent partnerships driving human health forward. Illumina (CA, ...
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 ...
According to SatyaNadella on X, Microsoft has trained a multimodal AI model that infers spatial proteomics directly from routine pathology slides, aiming to reduce time and cost while expanding access ...
A group of a few dozen colorful translucent 3D blobs, many of which overlap, contain brightly colored dots against a black background. Three-dimensional transcriptomics data from an instrument ...
DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
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 ...
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