We excited to announce that we are working on a new AI research project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!
You can read more about the Wellcome Data Prizes here, and you can find out more about Harmony here.
The team at Harmony is made up of:
Here is an interesting radio programme about the Wellcome Trust Data Prize in mental health from the South African radio station Fabrik FM.
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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?
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