AI in the life sciences: (Un)limited potential?
Artificial Intelligence (AI) is swiftly becoming a cornerstone technology in the early stages of drug discovery and preclinical development. We’re witnessing an increasing number of AI-driven breakthroughs in this field… right? Let’s take a critical look...
Trends in single cell sequencing: Spatial transcriptomics
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...
Trends in single cell sequencing: Atlases & public data
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...
Trends in single cell sequencing: High-throughput technologies
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...