Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

The human brain is a fascinating and complex organ that supports numerous sophisticated behaviors and abilities that are ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

STORIES is a trajectory inference method capable of learning a causal model of cellular differentiation from spatial transcriptomics through time using Fused Gromov-Wasserstein. STORIES learns a ...

Immune low-response states significantly impact the effectiveness of immunotherapy in cancer treatment. These states ...

This fundamental study generated a single-cell atlas of mouse periosteal cells under both steady-state and fracture healing conditions to address the knowledge gap regarding cellular composition of ...

At our recent FoG Live digital event, we were joined by a range of experts, sharing their knowledge on all things single-cell and spatial. In this feature, we summarise the talk by Koichi Hashikawa ...

Abstract: Self-supervised learning (SSL) has been successful in building patch embeddings of small histology images (e.g., $224\times 224$ pixels), but scaling these models to learn slide embeddings ...