Data Bytes: How to use AI strategically in the life sciences
Is AI just a buzzword?
For just one project at the intersection of data science and biology, you might require expertise spanning from the deep understanding of multi-omics and bioinformatics analysis, to applied skills in software engineering and data architecture and governance. At BioLizard, we’re dedicated to fostering this deep and broad expertise in our team of Lizards - and we’ve collected that knowledge here for you to explore.
No biologist likes a black box. As scientists, we’re skeptical - we want to know why something works, and how something works - not just that it works. And that’s for good reason! Biology, as you know, is very complex, and we’re still only just scraping the surface in terms of understanding how the ...
As we covered in our recent blog series, we expect advances in single cell sequencing to have an important impact on biomedicine. We predict that new technologies and tools like high-throughput single cell sequencing, spatial technologies, and increased public availability of data atlases will ...
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 together.