Using AI to spot causative relationships in overlapping medical datasets

A combined team of researchers from Babylon Health and University College has created an algorithm that they claim can find causal relationships among information in overlapping medical datasets. They have written a paper describing their algorithm and have uploaded it to the arXiv preprint server. They will also be giving a presentation describing their research at this year's Association for Advancement of Artificial Intelligence meeting.

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