RenovaroCube to Present Cutting-Edge Cancer Diagnostics Research at European Society for Medical Oncology Congress

AMSTERDAM, Sept. 13, 2024 (GLOBE NEWSWIRE) -- (NASDAQ: RENB) RenovaroCube (Cube, the Company), a leading AI-driven innovator using multi-omics technology for cancer profiling, is pleased to announce two scientific presentations at a leading cancer conference – the European Society for Medical Oncology (ESMO) Congress – on September 15, 2024.

“Combined, the findings that will be showcased represent key steps along the developmental pathway of Cube’s “go-to-market” strategy for its open-source AI platform as a service provider to many potential private sector partners and (academic) hospitals, as well as commercializing proprietary diagnostic products. This is only the beginning of our journey towards cutting-edge medical achievements,” said Dr. Dennis Makarawung, MD, PhD, the Company’s Medical Director.

One presentation describes the development of a deep learning model that leverages cell-free DNA (cfDNA) fragmentation features (fragmentomics) from a small sample of blood to detect cancer. The results show that in comparison to state-of-the-art cfDNA cancer detection models, we were able to perform on par while utilizing only minute amounts of genetic data. The integration of fragmentomics into the Cube’s current platform, further enhances its capacity to detect cancer, potentially leading to earlier and/or better treatment options and improved patient outcomes.

A second study demonstrated the Cube platform’s ability to correlate methylation patterns from cancer tissue in cfDNA derived from plasma, indicating that cancer can be detected in blood samples as an alternative for invasive tissue biopsies.

Dr. Henk Vietor, the Company’s Managing Director, said: “We believe Cube is at the forefront of developing a cutting edge, multi-omics platform designed to substantially accelerate liquid biopsy diagnostics using only 1 vial of blood. By integrating advanced AI/ML algorithms with comprehensive molecular data, Cube aims to accelerate early cancer detection, predict treatment responses, monitor treatment efficacy, and screen for recurrence. The data presented at ESMO give us the opportunity to showcase our AI/ML platform's capabilities and to demonstrate how our innovative approaches are paving the way for advancements in cancer diagnostics.