Message from Renovaro Bioscience, Inc.’s CEO, The Hon. Mark Dybul, MD - Seite 2

GEDI Cube has progressed its efforts with a three-phase workflow for its AI platform for biomarker discovery.

• Phase I of the workflow behind GEDi Cube’s AI platform primarily centers on the pivotal process of biomarker discovery. This intricate procedure unfolds through the application of data mining algorithms and statistical methodologies integrated into the AI platform. The paramount objective of Phase I is to reduce the plethora of genomic features displaying variations across samples, which is accomplished by systematically eliminating extraneous or inconsequential features while preserving those features that exhibit the greatest potential for accurately detecting cancer.

• Phase II of the workflow builds upon the foundation of selected biomarkers by focusing on understanding the dynamic interplay among these chosen biomarkers, culminating in the creation of composite panels. The goal of Phase II is to pinpoint biomarker combinations that not only demonstrate robustness in detecting cancer but also maintain their efficacy across diverse contexts. GEDi Cube believes that its AI algorithms are adept at uncovering multiple combinations across a spectrum of panels, which is supported by GEDi Cube’s AI-guided panel mining, a proprietary combinatorial optimization technique used by GEDi Cube’s AI technology. This approach, coupled with the capacity to explore numerous panels, significantly enhances the likelihood of discovering panels that align with specific metric criteria, such as sensitivity, specificity, precision, and recall, and allows for tailoring criteria to align with the client’s unique needs, such as the number of biomarkers included per panel or the inclusion of biomarkers associated with the expression of specific genes. The performance of the top-tier panels is further fine-tuned through the application of machine learning models. Subsequently, the efficacy of these biomarker panels in detecting cancer is validated through independent data sets.

• Phase III of the workflow involves GEDi Cube’s collaboration with its clinical partners to validate the performance of the biomarker panels. Through this collaboration, GEDi Cube is able to confirm the utility and accuracy of its biomarker panels in real-world clinical contexts.

While we await your decision on the business combination, the GEDi Cube and Renovaro Biosciences teams have been actively planning for a potential multiplier effect through the combined companies. We have jointly engaged to design clinical studies that will collect blood and biopsy samples from leading cancer centers in the USA and Holland to help accelerate the potential commercialization of AI-powered products.