ifford Issue 77 / October 2021 outcomes than the traditional stageby-stage biotech funding model .” In the field of “ personalised medicine ” – therapies tailored to an individual ’ s genetic makeup – Slater cites Chicago-based Tempus Labs ’ successful exploitation of AI . Tempus draws together 3.7 million cancer patients ’ records worldwide , its AI “ reading ” and sorting them so they can be searched and analysed . “ Because there are so many clinical trials going on in oncology , it ’ s very difficult for physicians to keep on top of all of the latest data and then match the findings to the individual circumstances of that patient ,” Slater explains . Tempus ’ s algorithms can match physiological data with genomic data and recommend personalised , real-time treatments for patients in acute need . As societies age , the pressure to satisfy what Slater calls “ unmet clinical need ” – the cruel ailments that still blight so many lives – is only going to grow . Incremental change , he makes clear , is the wrong prescription . Better , he believes , to seek out and back transformational change .
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