MNM Diagnostics

We combine next-generation AI with the most advanced genomic approaches (whole genome and multiomics data) to save the lives of cancer patients through predictive modeling and drug target identification. We set out on this journey analyzing somatic variants of patient tumors to guide their therapy. Soon, we realized that there is much more valuable information than only a coding DNA sequence in the patient’s tumor; however, we needed more genomes with clinical data to fully understand cancer origins. We started a BioBank and began building the database of whole-genome sequencing data, which led to the creation of custom data processing pipelines, distributed computation, and storing results in the cloud. With rich datasets at hand, now we can use machine learning to drive our success. We have developed and patented custom CDK4/6i, HRD, and PD1i patient stratification algorithms. The analysis of patient response to existing therapies inspired our broader vision We have realized that our genome analysis technology can reveal patterns of cancer mutations related to genes that are not yet targeted by any therapy. It is this realization that lies at the heart of our unique approach. We do not follow a classical drug target discovery approach - from basic science to in vitro models and clinical trials. Our solution starts from real patient data and leverage AI and bioinformatics to understand mutation profiles and find relevant target candidates. To follow this path, we are building a unique field that unites life scientists and data scientists. Together, we can answer questions at the core of cancer development. Together, we can find the right therapy for every cancer patient.