AI could influence how we prescribe drugs in the future
Zara Puckrin
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Much of the discourse around artificial intelligence is currently focused on ChatGPT, Lensa, and the ethics of these technologies. But the potential of AI extends way beyond chatbots. For example, in the life science sector machine learning could help scientists process big data from human studies. These huge datasets are nearly impossible to analyze without automation but could provide valuable insights that streamline how we develop and prescribe treatments.
At REPROCELL we are already using AI to reveal the key features that determine patients' responses to medicines. By testing drugs in donor tissues and processing the resulting data using Pharmacology-AI, we hope to explain why certain patients respond to drug therapies and others do not.
If you are interested in finding out more, Dr David Bunton has explained how AI could be used to process big data from human tissue studies to streamline precision medicine strategies here: Why do patients respond differently to drugs? AI may provide an answer (reprocell.com)
Please let me know your thoughts in the comments! And if you are interested in using Pharmacology-AI for your own data analysis feel free to drop me a private message and we can arrange a demo.