Opportunity

Immunohistochemistry is a frequently used method in diagnostic pathology to specify the cancer (eg. T-cell lymphoma vs. B-cell lymphoma). Having a specific diagnosis, rather than just a general diagnosis such as lymphoma, is essential in modern medicine as different cancer types are best treated with different approaches. Further, some cancers are difficult to detect without immunohistochemistry. Immunohistochemistry is presently done with antibody stains, which give good results, but are slow, expensive, and difficult to use. As a result, time for diagnosis is extended and many smaller pathology laboratories will avoid the method, leading to less accurate and precise diagnoses.

Technology 

Artificial intelligence staining (AIstain) is novel generative AI technology that enables a computer to virtually perform immunohistochemistry, replacing slow, expensive, and difficult-to-use antibody stains. The neural networks behind AIstain are trained with accurate immunohistochemistry data obtained using antibodies, resulting in accurate outputs. To the pathologist, virtual immunohistochemistry looks similar to traditional immunohistochemistry, but results are available in minutes, not hours. Further, there is no need for the specialized equipment needed to use antibodies. AIstain is implemented on the cloud, meaning pathologists anywhere in the world can use the technology by simply having a digital microscope and an internet connected computer.

Advantages

• Fast
• Low-cost
• Easy-to-use

Applications

• Pathology
• Veterinary pathology