The startup says it will use the investment to develop its AI solutions and market them internationally.
French health tech startup Primaa has raised €2m to accelerate the development and the international marketing of its automated diagnostic products.
The Paris-based firm, founded in 2018, develops software tools which use artificial intelligence (AI) and deep learning to assist anatomical pathologists with cancer and other diagnoses.
It is currently in the process of finalising its first tool focused on breast cancer and in the future aims to widen its scope to other pathologies in the gastrointestinal, urological and dermatological fields.
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The funds were raised from Fonds Ambition Amorçage Angels or F3A (a fund managed by Bpifrance), Entrepreneurs Investis, 50 Partners, Angels Santé and business angels.
WHY IT MATTERS
Primaa aims to improve on the manual diagnostic process, under which samples are transferred to slides and analysed under the microscope by experts.
Its software tools assist specialised practitioners by automating sample analysis with the goal of offering an instant, precise initial diagnosis. By digitising the slides and collecting millions of images in a database created with the support of several medical partners, Primaa can use AI to identify the various pathologies related to tissue damage and form a diagnosis.
THE LARGER CONTEXT
Primaa says it has built partnerships with several anatomical pathology departments in France and is developing its products in
close partnership with doctors. It has analysed several million digital images so far.
Meanwhile, Luxembourg hospital group Hôpitaux Robert Schumain recently announced it will pilot a radiological image analysis solution based on the BioMind diagnostic tool, which uses AI and deep learning to analyse neurological disorders.
The UK government is also leveraging AI to speed up disease diagnosis through investing more than €57.3m (£50m) to support NHS diagnostic services and the work of the Centres of Excellence in digital pathology and imaging with AI.
Source: Mobihealth News