As the “Method of the Year 2024”, spatial proteomics (SP) enables in situ characterization of protein localization, abundance ...

AutoNorm technology to optimize PCR amplification in real time, improving data quality and eliminating variability in ...

The biotechnology company scheduled multiple research presentations on artificial intelligence applications in genetic mapping at the cancer conference.

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 ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to Parkinson's to ALS and beyond, is expected to double every 20 years. Though ...

The emergence of large language models (LLMs) represents one of the most transformative technological shifts in modern medicine. These sophisticated artificial intelligence systems, capable of ...

Two new collaborations announced this week involve sequencing giant Illumina. First, SPT Labtech announced that it is collaborating with Illumina on an automated sample preparation platform designed ...

Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within tissues (without isolating or moving them from their environment). Just as a ...

Abstract: Spatial transcriptomics (ST) provides groundbreaking opportunities to study biological processes and disease mechanisms by measuring gene expression profiles and spatial coordinates.

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 ...