A London-based artificial intelligence startup raised $1 million in seed funding to develop automated “machine reading” programs that aim to digest and distill the expansive mass of documents in biomedical literature and research. London-based AI start-up Causaly has raised $1m in seed funding to develop automatic programmes to read and analyse million of documents from biomedical research. The result will help healthcare professionals plan treatment. “Healthcare is a big data problem that needs an automated solution,” said Dr David King, CEO at Causaly. The funding was led by Marathon Venture Capital. Causaly's system is designed to turn text into graphs to help predict “missing links” in the way diseases work, and has already identified 10 million relationships between terms used in academic healthcare literature.
London-based AI start-up Causaly has raised $1m in seed funding to develop automatic programmes to read and analyse million of documents from biomedical research. The result will help healthcare professionals plan treatment. “Healthcare is a big data problem that needs an automated solution,” said Dr David King, CEO at Causaly. The funding was led by Marathon Venture Capital. Causaly's system is designed to turn text into graphs to help predict “missing links” in the way diseases work, and has already identified 10 million relationships between terms used in academic healthcare literature.