The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...

Researchers used spatial transcriptomics to map gene expression in developing wheat spikes at single-cell resolution.

Researchers at the John Innes Center and the Earlham Institute are pioneering powerful single-cell visualization techniques ...

Advancements in AI, multi-omics, and genome editing are transforming life sciences and biotechnology, addressing new ...

Researchers at the John Innes Centre and the Earlham Institute are pioneering powerful single-cell visualisation techniques ...

New research reveals that certain brain tumors may originate silently within normal brain cells long before a tumor forms.

The final, formatted version of the article will be published soon. Clear cell renal cell carcinoma (ccRCC) is characterized by high recurrence and metastatic potential, leading to poor clinical ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with limited efficacy of current therapies in advanced cases. As a key risk factor for HCC, liver ...

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

The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

A candid look at the recurring obstacle that tests even the strongest relationships. Cuba is already on the brink. Maduro’s ouster brings it closer to collapse. TSA is leaving this airport. What ...