ArticlesDrug Discovery and DevelopmentGeneral Interest

Data Standardization

Increasingly, biopharma research & development experimental data are siloed and stored in varying formats. This makes it difficult to search, retrieve and share data. Furthermore, these data are often not interoperable, making it impossible to compare. Data needs to be better managed to be more collaborative, shareable, and interoperable, in order to accelerate research and continue making breakthroughs. Data standardization aims to forge a path toward machine-readable and actionable data that can be found, accessed, and reused with minimal human intervention.
READ MORE →
ArticlesDrug Discovery and DevelopmentGeneral Interest

Globally Aware Genomes — an Informatics Challenge

The Human Genome Project was completed nearly two decades ago, in 2003. The primary vision of this project was to produce a human reference genome, a representative example of the set of genes in one idealized individual human. However, the currently available reference genomes do not represent the genetic diversity found across different human populations. As such, any downstream products (drugs therapies, personalized medicine, etc.) derived from the human genome will not accurately represent the vast majority of the human population.
READ MORE →
Artificial Intelligence in Drug Development
ArticlesGeneral Interest

Artificial Intelligence in Drug Development

Artificial intelligence (AI) relies on building a model and applying it to solve a specific problem. Read how AI is being used to accelerate research and development, process development, manufacturing, and clinical trials within genomics.
READ MORE →
Single-Cell Analysis and the Endless Possibilities
ArticlesDrug Discovery and DevelopmentPodcasts

Finding New Horizons — What Possibilities Exist with Single-Cell Analysis?

Single-cell techniques offer exciting, new ways to understand personalized medicine and research. Developing these techniques at Bio-Rad is Dr. Kelly Kaihara, the third guest on Brilliant Science. Read about what makes single-cell analysis different and Kaihara’s perspective on its potential moving forward.
READ MORE →