Elucid raises $80M Series C for AI-powered imaging analysis software

Elucid announced today that it raised $80 million in a Series C funding round to support its AI-powered imaging analysis software.

Boston-based Elucid says the funding could help to expand its commercialization efforts. With a $27 million Series B raised last year, the company has now raised $121 million in total since inception. Elevage Medical technologies led the latest round as industry strategists and existing investors also participated.

Elucid designed its FDA-cleared and CE-marked software platform to objectively quantify plaque morphology validated against tissue specimens. It developed its algorithms through machine learning. They can characterize tissue types in the artery wall known to cause heart attacks, such as lipid-rich necrotic core.

The platform’s capability to discern complex plaque biology at the cellular and molecular level powers new applications. It can determine the risk of heart attack/stroke, and expression prediction to inform…

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Elucid raises $27M for heart disease diagnosis software

Elucid announced that it closed a Series B financing round with proceeds totaling $27 million.

Boston-based Elucid’s Series B round was led by an undisclosed strategic investor. A new investor, Biovision Ventures, participated, as did existing investors MedTex Ventures, IAG Capital, Bold Brain Ventures and BlueStone Venture Partners.

Elucid designed its FDA-cleared and CE-marked software platform to objectively quantify plaque morphology validated against tissue specimens, with algorithms developed through machine learning able to characterize tissue types in the artery wall known to cause heart attacks, such as lipid-rich necrotic core, according to a news release.

The platform’s capability to discern complex plaque biology at the cellular and molecular level powers new applications that can derive fractional flow reserve (FFRct), risk of heart attack/stroke, and expression prediction to inform therapeutic selection. Elucid said its approach…

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