Discover why animal models fall short in AI drug discovery and how human-first datasets and functional genomics are changing ...

We developed a statistical method for Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics. IRIS is a reference-informed integrative method for detecting spatial ...

Researchers at The University of Texas MD Anderson Cancer Center have developed a spatial map of muscle-invasive bladder ...

Neurological disorders and neuro oncology impose a growing clinical and societal burden, while therapeutic development remains slow, costly, and uncertain.

Why do so many promising drugs fail? This article explores how spatial multiomics reveals hidden cell interactions, helping ...

Among the assorted communities of brain cells contained within an 8 millimeter punch of cortex, scientists have captured what might reflect two pivotal microglial moments along the decades-long ...

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F., Blampey, Q., Benkirane, H. et al. STHELAR, a multi-tissue dataset linking ...

A core challenge in biology is understanding how processes in the body, such as cellular development and regeneration, unfold over long stretches of time, making them notoriously difficult to view at ...

In an unexpected finding, a new study flips on its head researchers' understanding of how precancerous pancreas lesions evolve into pancreatic cancer. The paradigm-changing discovery has tremendous ...

When an optometrist shines a bright light into your eyes, a vast, branching tree sprouts in your field of vision. This is the shadow of blood vessels. Though we normally can’t perceive them, these ...

Scientists have uncovered a hidden reason why cancer treatments don’t work equally well for everyone. Certain drugs can become trapped inside lysosomes within tumor cells, forming slow-release ...

The global initiative aims to profile up to 100,000 patient specimens to scale M-Optimus, the world model of biology, representing a ~20x increase in scale over existing data available in the world ...