Techcyte’s AI image analysis, coupled with CytoBay’s proprietary stain, results in the first non-invasive, highly accurate detection method which will help make bladder cancer detection and screening more appealing for patients.
Non-Invasive Bladder Cancer Detection
Our Bladder Cancer solution will classify and count the following object (for a full list see below):
Challenges & solutions
Bladder cancer affects over a million people in the US every year. It’s the 4th leading cancer for men. Survivors are supposed to undergo a quarterly biopsy to monitor its progression. This biopsy is very expensive, painful, and invasive for the patient and time-consuming for the Pathologist who analyzes the sample under a microscope.
Our solution is being developed to offer individuals a noninvasive bladder cancer urine test that is pain-free, more accurate, significantly less expensive, allows for quicker results, and is more accessible.
How it works
Technicians prepare slides following standard slide preparation protocols and the Cytobay Laboratories chemistry. Slides are then coverslipped for scanning.
Technicians load slides into a compatible whole slide scanner. Slides are then scanned, and the resulting images are automatically uploaded to the Techcyte platform for AI analysis. The Bladder Cancer test accepts any good-quality 40x image from a compatible scanner (for a list of compatible scanners, see below).
Our AI algorithm uses a convolutional neural network to identify ICC positive low grade, high grade, and other diagnostically significant cells. It then places them into the most likely classification for technologist review. This algorithm is deterministic, making the same classification every time it is shown the same image. The whole process takes just minutes.
A technologist logs into the Techcyte platform on any web-enabled device and reviews available samples, confirming the presence of objects of interest and, if required, their prevalence. They can also add notes or request an additional consult.
- High grade urothelial carcinoma
- Low grade urothelial carcinoma
- State-of-the-art platform
- AI-proposed images of ICC positive low and high grade cells, grouped by class and sorted by confidence
- No daily cycle of fatigue, distraction, or confirmation bias
- High volume, high reliability scanners produce 40x equivalent digital images