Hologic and Google collaborate to bring breakthrough results in cancer screening

Digital & Innovation: Hologic’s multi-year strategic collaboration with Google will feature the integration of Google Cloud’s machine learning (ML) technologies with Hologic’s cutting-edge Genius™ Digital Diagnostics System to transform screening and accelerate the eradication of cervical cancer across the globe.

Genius Digital Diagnostics is the first digital cytology platform to combine artificial intelligence (AI) with advanced digital imaging to help identify pre-cancerous lesions and cancer cells in women. Now, Hologic is enhancing the deep learning component of the system with Google Cloud. The expectation is that the Genius Digital Diagnostics System will derive even more actionable insights from cytology slides for cytotechnologists and pathologists. Google Cloud also provides a secure and reliable cloud data architecture to further extend the system’s capabilities.

“Hologic has been at the forefront of cervical cancer screening for more than 30 years, and we are building on that legacy with this strategic collaboration,” said Kevin Thornal, President of Hologic’s Diagnostic Solutions Division. “Enhancing our use of AI with Google Cloud’s machine learning capabilities and cloud architecture is the next natural step in this journey forward.”

“Through this collaboration with Hologic, we are helping to evolve digital diagnostics by complementing their expertise in diagnostics and AI with our expertise in machine learning,” said Joe Miles, Managing Director of Google Cloud Healthcare and Life Sciences. “We are further bringing to life our two organisations’ shared commitment to reimagining digital diagnostic capabilities for laboratories and healthcare providers across the globe, ultimately enabling them to better serve their patients.”

Genius Digital Diagnostics is CE-marked for diagnostic use in Europe and is not available in Australia or the United States as the FDA is currently overhauling how it regulates machine learning-based software for medical device applications.