CHITA – a registry of in vitro NAMs
If we want to replace animal testing in biomedical research, how do we find human-relevant alternatives? It’s not that simple. There are 1000s of human cell-based assays and systems that…
Kudos to the GSRC team at the FDA and NCATS for progress on the Global Substance Registration System. Updates were shared at a recent GSRS User Group Conference, hosted at the University of…
The Pistoia Alliance’s Data FAIRy project is a great example of the power of human-in-the-loop machine learning in drug discovery. By applying NLP to bioassay protocols (via CDD’s BioHarmony: Annotator),…
Check out the thoughtful and comprehensive review of AI in drug discovery by Andreas Bender and Isidro Cortés-Ciriano, Artificial intelligence in drug discovery: what is realistic, what are illusions? Part…
If the scientific paper is obsolete, what are we going to do about it? Despite recent efforts at modernization, the way we communicate science is broken. We can’t tell what…
What are ontologies and why should I care? If you are a scientist and want your research to have long term impact, you will want to learn about ontologies and…
We’ve all been there. When reading a paper with interesting results, questions arise about some detail of the experiment. We go to the methods section for a quick check, only…
Tips for biologists who want to improve their data skills Biologists can play a key role in implementing FAIR (Findable, Accessible, Interoperable and Resusable) data – here are easy steps…
Machine learning & artificial intelligence (AI) is the latest new new thing capturing interest in the pharmaceutical industry. Predicting patient responses from large data sets gathered by wearable devices or…
