Life science researchers face an exponential expansion in data volumes, while wrestling with objectives including: minimising time-to-market, maximising efficacy at the same time as ensuring safety, and creating better-targeted therapies. Machine learning can turn this data from a time-sink into a resource that accelerates innovation. Download, read, or watch these information resources for more information.
White paper – Five ways machine learning can power life science data analysis. Download→
Datasheet – Introducing machine learning for Life Sciences with Alchemite™. Download→
Blog article – From the hype to the everyday – AI in life sciences. Read→
Project – Oligonucleotide therapeutics project announcement with CPI. Read→
Recorded webinar – Machine learning for smart manufacturing: oligonucleotide case study. Watch→
Case study – Optimising kinase profiling programs with Optibrium and Genentech. Read→
Blog series – Machine learning for Design of Experiments. Read→
White paper – Machine learning for Adaptive Experimental Design. Download→
Publication – Predicting pharmacokinetics with Optibrium and AstraZeneca. Download→
