Spatial transcriptomics is a fast-moving and quickly growing field, although its technical complexity remains a challenge. Early adopters in industry are now beginning to explore its potential - which is why spatial transcriptomics is the third trend that we’ve identified in the field of single ...
With the boom in single cell sequencing over the last years, a lot of data has been generated – and excitingly, more and more of this data is publicly available. That’s why the generation and utilisation of atlases and public data is the second trend that we’ve identified in the field of single ...
The value of single cell sequencing is now cemented in the annals of the life science industry – and as a result, new methods and technologies are emerging that allow scientists to sequence more and more cells at a lower and lower cost. The ability to multiplex millions of cells at a reduced cost ...
In today's dynamic biotech and biomedicine sectors, the transformative power of artificial intelligence (AI) stands at the forefront in R&D. To leverage AI to its full potential, it’s key to understand the nuanced, strategic advancements it brings - especially when grappling with complex ...
In order to study a biological system as a whole, it’s beneficial to merge the input of different biological features. That means taking into account not only the proteome, transcriptome, and genome, but also the abundance of post-translational modifications and microbiome factors that can ...
