A brief retrospective on our second blogiversary
It’s been an eventful two years, to the month, since we launched our omics and analysis blog. Our...
BioStrand Omics Analysis Blog:
ML
AI in Biopharma: Challenges and Opportunities
There are an estimated novemdecillion, or 1060, molecules in the known universe with potential...
Accelerate Biomarker Discovery with Artificial Intelligence
Biomarkers play a critical role in realizing the true potential of precision medicine. As accurate...
Closing the Gap of Text and the Biosphere with LENSai™ NLP Link
Bridging the gap between raw sequence data, secondary research, experimental data, and the...
AI-powered genomics to advance precision medicine
Sir William Osler, often called the father of modern medicine, was among the first to articulate a ...
AI, NLP and the ROI of drug development
The out-of-pocket R&D costs of developing a single drug, whether successfully launched or not, are...
Accelerating pharma R&D and innovation through technology partnerships
Biopharmas are increasingly turning to alliances & partnerships to drive external innovation....
Improving Drug Safety with Adverse Event Detection Using NLP
It is estimated that Adverse Events (AEs) are likely one of the 10 leading causes of death and...
A Hybrid Approach to NLP in Drug Discovery
Artificial Intelligence-powered technologies like NLP are becoming critical to the pharmaceutical...
AI in early phase drug development
AI technologies are currently the most disruptive trend in the pharmaceutical industry. Over the...
Efficient data integration is the key to effective AI/ML
AI/ML technologies can be notoriously data-hungry with the broader concern being that certain...