With the rapid generation of spatial transcriptomics (ST) data, integrative analysis of multiple ST datasets from different conditions, technologies and developmental stages is becoming increasingly ...

Recent advances in spatial transcriptomics (ST) have generated an expanding collection of heterogeneous datasets, offering unprecedented opportunities to investigate tissue organizations and functions ...

Recent developments within the geospatial technology sector underscore a continued commitment to improving how spatial data is managed, analyzed and applied across operational environments. The ...

Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research Cancer remains ...

Understanding how genetic variation relates to spatially organised molecular architecture in the human brain remains a central challenge in spatial biology. This doctoral project aligns with the BBSRC ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...