We have updated the Drug Name Recogniser Google Sheets™ plugin to cover molecular mass, chemical formula and SMILES strings.
Link to install the tool: https://fastdatascience.com/ai-in-pharma/drug-name-recogniser
Natural language processing
We have a Python library available which you can find on PyPI and on Github. It’s fully open source with MIT License.
You can install the Python library by typing in the command line:
pip install drug-named-entity-recognition
You can also try the library in your browser on Fast Data Science.
Fast Data Science provides NLP consulting for the pharma industries. Our flagship product is the Clinical Trial Risk Tool https://clinicaltrialrisk.org.
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We are excited to introduce the new Harmony Meta platform, which we have developed over the past year. Harmony Meta connects many of the existing study catalogues and registers.
Guest post by Jay Dugad Artificial intelligence has become one of the most talked-about forces shaping modern healthcare. Machines detecting disease, systems predicting patient deterioration, and algorithms recommending personalised treatments all once sounded like science fiction but now sit inside hospitals, research labs, and GP practices across the world.
If you are developing an application that needs to interpret free-text medical notes, you might be interested in getting the best possible performance by using OpenAI, Gemini, Claude, or another large language model. But to do that, you would need to send sensitive data, such as personal healthcare data, into the third party LLM. Is this allowed?
What we can do for you
