We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Non-Invasive Digital Diagnostic Test to Redefine Bladder Cancer Surveillance

By LabMedica International staff writers
Posted on 22 Jul 2022
Print article
Image: A non-invasive digital diagnostic test could provide accurate bladder cancer diagnosis (Photo courtesy of Techcyte)
Image: A non-invasive digital diagnostic test could provide accurate bladder cancer diagnosis (Photo courtesy of Techcyte)

Bladder cancer is one of the most common cancers and has a high recurrence rate. After successful treatment, it is recommended that survivors be tested every three to six months for the first two years, every six to 12 months for years three to four, and then yearly from then on. This invasive test for recurrent cancer is painful, time-consuming, and expensive. Despite its high risk of recurrence, less than half of patients actually follow these guidelines. In an effort to improve these numbers, a new collaboration is focusing on the creation of a non-invasive test that will redefine bladder cancer surveillance.

Techcyte, Inc. (Orem, UT, USA) and Cytobay Laboratories, Inc. (Los Angeles, CA, USA) have entered into a collaboration to create a non-invasive digital diagnostic test for bladder cancer. Cytobay, which focuses on developing a non-invasive methodology to diagnose cancer and monitor disease progression, will utilize Techcyte’s Clinical Pathology AI platform to analyze the cells and complete the diagnostic process.

The deep machine learning AI created by Techcyte will accurately and efficiently identify cancerous bladder cells in a fraction of the time and cost compared to current methods. Techcyte’s technology is being used in laboratories for cervical cytology, bacteriology, hematology, and parasitology. This collaboration opens the door for Techcyte to become the first AI platform for bladder cancer diagnostics. Studies show that 75% of bladder cancer is treatable if detected early. AI validation studies are underway, with the product projected to be available winter of 2022.

“Our novel technology enables the evaluation of single cell cytomorphologic and molecular profiles simultaneously, especially in clinical samples only containing a minimal amount of target cells,” said Dr. Wenjiang Chu, founder of Cytobay. “We have automated the slide preparation staining process to highlight uroepithelial carcinoma cells and subsequently transform the landscape of bladder cancer diagnosis.”

“We are on the cutting edge of new non-invasive cancer diagnostics,” added Cytobay’s President and COO, Mitchell Aicher, “Our collaboration with Techcyte will allow us to provide revolutionary, accurate and cost effective cancer diagnostics to those who need it most.”

Related Links:
Techcyte, Inc. 
Cytobay Laboratories, Inc. 

Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Benchtop Cooler
PCR-Cooler & PCR-Rack
New
Hemoglobin/Haptoglobin Assay
IDK Hemoglobin/Haptoglobin Complex ELISA

Print article

Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.