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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When can lawyers, litigants in person, and expert witnesses use AI in court documents? In the last few years in the UK, the USA, Canada, Ireland and other jurisdictions, cases have been reported where submissions were made to a court where the author of a document used generative AI tools such as ChatGPT to create those documents. This has wasted court time, resulted in submissions being rejected or even resulted in changes to cost awards.
A person has recently returned from a camping trip and has a fever. Should a doctor diagnose flu or Lyme disease? Would this be any different if they had not mentioned their camping trip? Here’s how LLMs differ from human experts.
How can you predict customer churn using machine learning and AI? In an earlier blog post, I introduced the concept of customer churn. Here, I’d like to dive into customer churn prediction in more detail and show how we can easily and simply use AI to predict customer churn.
What we can do for you
