Sam Brusco, Associate Editor02.02.21
This partnership will aim to integrate Google Cloud’s machine learning (ML) technologies with the Genius Digital Diagnostics System to transform screening and accelerate the eradication of cervical cancer.
Genius Digital Diagnostics is the first digital cytology platform to merge artificial intelligence (AI) with advanced digital imaging to help spot pre-cancerous lesions and cancer cells in women. Hologic is enhancing the system’s deep learning component with Google Cloud. The expectation is the Genius Digital Diagnostics System will derive more actionable insights from cytology slides. Google Cloud also offers secure and reliable cloud data architecture to 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,” Kevin Thornal, president of Hologic’s Diagnostic Solutions Division said in a press release. “Enhancing our use of AI with Google Cloud’s machine learning capabilities and cloud architecture is the next natural step in this journey forward.”
Hologic is conducting research to explore the meaningful differences working at the intersection of AI and ML can have within diagnostics, improving laboratory performance, healthcare provider decision-making, and ultimately patient care.
“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 organizations’ 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 for sale in the U.S.
Genius Digital Diagnostics is the first digital cytology platform to merge artificial intelligence (AI) with advanced digital imaging to help spot pre-cancerous lesions and cancer cells in women. Hologic is enhancing the system’s deep learning component with Google Cloud. The expectation is the Genius Digital Diagnostics System will derive more actionable insights from cytology slides. Google Cloud also offers secure and reliable cloud data architecture to 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,” Kevin Thornal, president of Hologic’s Diagnostic Solutions Division said in a press release. “Enhancing our use of AI with Google Cloud’s machine learning capabilities and cloud architecture is the next natural step in this journey forward.”
Hologic is conducting research to explore the meaningful differences working at the intersection of AI and ML can have within diagnostics, improving laboratory performance, healthcare provider decision-making, and ultimately patient care.
“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 organizations’ 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 for sale in the U.S.