Our technology solutions are crafted to offer accessible, accurate, and non-invasive diagnostic tools for cancer detection and treatment. From the development of user-friendly urine cell filtration devices to the utilisation of morphobiometric characteristics for heightened specificity, our solutions are reshaping the landscape of cancer diagnostics. With a commitment to minimising patient discomfort and financial burden, we’re leading the way towards a more efficient and effective approach to cancer detection.
Isolating Cancer Cells in Urine
Developing an easy-to-use urine cell filtration device entails designing a tool that simplifies the process of isolating urinary cancer cells for diagnostic purposes. This device should be user-friendly, allowing healthcare professionals to efficiently perform the filtration process. It must also ensure the quick and effective preservation of the isolated cancer cells for subsequent analysis. The goal is to create a device that expedites the isolation of urinary cancer cells, facilitating prompt and accurate diagnosis without compromising on reliability.
Whole Cell Based Test
Developing a whole cell-based test based on morphobiometric characteristics involves creating a diagnostic tool that utilises the unique physical and morphological features of cancer cells to achieve high specificity in cancer detection. This test aims to accurately identify cancer cells by analysing their distinct morphological properties, providing a reliable means of diagnosis. By focusing on the morphobiometric characteristics of cancer cells, this test offers a targeted approach to cancer detection, enhancing specificity and minimising the risk of false positives. Ultimately, this innovative technology holds the potential to revolutionise cancer diagnostics by improving the accuracy and reliability of cancer detection methods.
Non-Invasive Test
Developing a non-invasive test involves creating a diagnostic method that eliminates the need for invasive procedures such as cystoscopy. By utilising liquid biopsy-based techniques, this test aims to reduce patient discomfort, lower morbidity rates, and decrease healthcare expenses associated with invasive procedures like cystoscopy. By offering a less invasive alternative for cancer diagnosis, this innovative approach not only enhances patient experience but also alleviates financial burdens, making cancer screening more accessible and cost-effective. Overall, this non-invasive test has the potential to transform cancer diagnostics by prioritising patient comfort and affordability without compromising on accuracy.
Digital Pathology
Developing an AI-driven digital pathology solution involves creating a sophisticated platform that utilises artificial intelligence to analyse the bio-morphometric characteristics of tissue samples. This innovative technology aims to enhance the accuracy and efficiency of pathology assessments by leveraging advanced algorithms to identify and interpret subtle morphological features associated with cancer cells. By harnessing AI capabilities, this digital pathology solution streamlines the diagnostic process, allowing for faster and more precise identification of cancerous tissues. Ultimately, this cutting-edge technology holds the potential to significantly advance cancer diagnostics by providing clinicians with powerful tools to improve diagnostic accuracy and patient outcomes.