If you have a visually impaired relative, Mangoslab's Nemonic Dot will be an easy way to outfit their household with custom ...

On shelves at a Humanetics facility in Huron, Ohio, skulls stare from their eyeless sockets, shiny and silver. Around a corner, a rack is filled with squishy, peach-toned arms, legs, torsos and butts.

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

The time has finally come for audiences to embark on the second half of the fantastical "Wicked" adventure that began a year ago. Last year's debut was a massive box office and door-busting hit with ...

WASHINGTON — For the first time ever, American car companies will soon be required to test vehicle safety using dummies that are representative of women. Transportation Secretary Sean Duffy on ...

Transcriptomics represents a critical discipline in cancer research, enabling comprehensive mapping of gene expression profiles and the identification of fusion genes implicated in tumor development.

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

A technology that combines transcriptomic data and AI enables a novel approach to drug discovery based on the state of cells, how they behave and which genes they express. The Drugreflector model, ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

In today's hyper-connected world, cyber threats are more sophisticated and frequent than ever - ransomware attacks, data breaches, social engineering scams, and advanced persistent threats targeting ...

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 ...