Advaita Bio today announced the launch of iSCanGuide, a cloud-based platform engineered to transform large-scale single-cell and spatial transcriptomics datasets into biologically meaningful results.

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Key opportunities in the Global Spatial Genomics and Transcriptomics Market include technological advancements in spatial ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts produced by the genome at a specific time or under particular conditions. It involves the analysis of ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Researchers developed a new computational method to analyze complex tissue data that could transform our current understanding of diseases and how we treat them. Researchers at the University of ...

Real-time nanopore transcriptomics enables early detection of expression changes and sample quality, offering a rapid, cost-effective strategy for experimental quality control and transcriptomic ...

GPU-Accelerated Platform Unifies Fragmented Workflows, Turning Weeks of Analysis into MinutesANN ARBOR, Mich., May 7, 2026 /PRNewswire/ -- Advaita Bio today announced the launch of iSCanGuide ...