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WATS3DAI-powered Diagnostic Platform

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AI-powered diagnostic platform to help prevent esophageal cancer. Included in the Standard of Practice Guidelines for the screening and surveillance of Barrett’s esophagus, WATS3D is our proprietary diagnostic platform for identifying precancerous cells in the esophagus.

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WATS3D empowers physicians to preempt cancer.

Changing the landscape of cancer prevention through innovative technology solutions.

SAMPLING

Adjunctive use of WATS3D helps overcome sampling error that is inherent in the Seattle protocol
WATS3D provides physicians with a more effective endoscopic method of sampling tissue from the esophagus. It allows:

  • Sampling of much more at-risk mucosa, which reduces sampling error
  • Acquisition of deep mucosal tissue which is the location where pre-cancer (dysplasia) develops initially.

Limitations of the Seattle protocol:

  • 96% of the endoscopically suspect area remains completely unsampled
  • Significant sampling error and false negative results
  • Poor agreement rate among pathologists in diagnosing dysplasia
  • Time-consuming and labor intensive

ANALYSIS

WATS3D utilizes a powerful combination of AI neural network and 3D imaging that results in more accurate pathologic diagnoses.

Artificial Intelligence
Finding a Needle in a Haystack

A powerful AI “deep-learning”, neural network screens, identifies and ranks atypical epithelium to reliably detect precancer (dysplasia) more readily.

3D Imaging & Analysis
Unique information-rich, view of tissue

Advanced 3D imaging technology virtually slices and then synthesizes all of the layers of tissue, into a single 3D image for the pathologists to analyze.

This allows for a more definitive diagnosis of dysplasia in cases that would otherwise be reported as negative or indefinite for dysplasia.

Immunohistochemistry
Confirmation of the diagnosis

Immunohistochemistry is used to help identify Barrett`s esophagus and dysplasia where applicable.

CONSISTENCY

For greater inter-observer agreement than standard histopathology on forceps biopsy samples.
With WATS3D, areas identified by the neural network as the most likely to be dysplastic, pathologists are able to quickly identify and grade dysplasia in higher percentage of positive cases and with far greater diagnostic accuracy.

Traditional esophageal histopathology on forceps biopsy specimens are well-known to suffer from high interobserver variability and high miss rates of dysplasia and cancer.

WATS3D pathologists gathers information from both the 3D images as well as the cytology specimens using histocytology techniques to make more accurate diagnoses, and genetic testing allows pathologists to consistently make a diagnosis based on the most advanced science available.