The platform, called Viper, combines deep learning technology with pathology workflows to facilitate patient identification for clinical trials. The software, which aims to facilitate peer-to-peer collaboration and clinical research pathologists, can flag trial-eligible patients at the time of diagnosis.
“With this additional capital, we will move to quickly leverage our successes in the pathology industry and apply a highly disruptive approach to patient identification in clinical trials, one of the most expensive and time intensive issues faced by the pharmaceutical industry,” Deep Lens President and co-founder Simon Arkell said in a news release.
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