Why bioinformatics workflows require experienced software engineers
In the world of AI, life sciences is an exciting space to work. New models and algorithms appear almost on a daily basis, helping us to understand how biology works, and how we can do things like diagnosing human health, designing new drugs, or building new microbial...
Transforming veterinary research using data science, one paw at a time
Data science is vastly changing the way we do research. Veterinary research is, however, still lagging behind its human counterpart. Why is this the case and can we learn from human health data to close this gap? Published by: BioVox on November 27, 2024 – link...
Biomarker discovery 2.0: Using new technologies to access novel insights into human health and disease
Due to the size and dimensionality of the datasets required, data science is an essential component of modern biomarker discovery and development. It’s no longer feasible to mine and process these data sets manually, which demands collaboration between R&D...
Beyond diagnostics: How biomarkers can be used to de-risk drug development
Biomarker discovery is important not only in the pursuit of better diagnostics but also for de-risking drug development. By leveraging validated biomarkers, you can prioritize drug candidates with higher likelihoods of therapeutic success, thereby reducing the risk of...