Illumina, Inc. recently expanded its Board from nine to ten members and appointed Daniel M. Skovronsky, M.D., Ph.D., Chief ...

Yes, The Deep actually dies in The Boys finale. And sadly, the Supe that had Aquaman-style abilities dies in the ocean. The Boys finale episode aired on May 20 on Prime Video. And while the episode is ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche cellular interactions in the gastrointestinal tract that promote the ...

Now that we have wearables tracking our every move, a lot of us can look at stats that supposedly tell us how well we’ve slept the night before. But sometimes, it can feel like your sleep tracker is ...

Abstract: Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows) in the ...

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 ...

This year's NFL Draft is heavily loaded with defensive talent, according to the speaker, who notes that the safety, linebacker, and cornerback groups are all exceptionally deep. While the offensive ...

Although containing more neurons than the rest of the brain regions combined, the cerebellum remains understudied in human development compared to the cerebral cortex. Consequently, much of our ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Inference code for "Towards Spatial Transcriptomics-driven Pathology Foundation Models". This repository contains the basic model code as well as instructions to run inference on H&E and spatial ...

Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to the training data demands of deep-learning algorithms, ...