How AI, robotics, and modular design are transforming single-cell and spatial biology into scalable, precision-driven engines of discovery.

A new study led by researchers at UTHealth Houston investigated both gene expression and regulation at single cell levels to reveal disruptions in gene function in three brain regions of patients with ...

“The projects awarded pilot studies grants for 2026 address important clinical and translational science questions,” says CTSI Director Sanjay Sethi, MD, SUNY Distinguished Professor of medicine and ...

An automated cell culture system reduces hands-on time and improves seeding consistency in 96-well microplates. The research ...

The partners are launching ImmuneScape, a multiomics program using spatial and single-cell sequencing to study immune drivers ...

New scientific methods could one day render animal studies—the standard in research laboratories for more than 100 ...

Sensorineural hearing loss (SNHL) is a highly prevalent sensory disorder globally, affecting over 1.5 billion people, with a ...

Smoking tobacco is known to worsen symptoms of periodontitis and reduce responsiveness to treatment. Using high-resolution ...

Peer-reviewed discovery platform and data in PNAS show that single transcription factor modulation reverses aging-associated gene expression and restores healthy cellular and tissue function in models ...

ILMN's Connected Multiomics, launched after early user input, advances precision health research and may boost the stock.

Smoking tobacco is known to worsen symptoms of periodontitis and reduce responsiveness to treatment. Using high-resolution ...

Abstract: Spatial transcriptomics (ST) are emerging technologies that reveal spatial distributions of gene expressions within tissues, serving as important ways to uncover biological insights. However ...