Discover how we collaborated with the UroCCR network to develop a machine learning model that outperformed the predictive performance of most usual kidney cancer risk scores.
Discover how a deep learning algorithm, GIInger™, leverages low-coverage sequencing data to identify homologous recombination deficiency (HRD)-induced genomic instability.
Discover how Dr. Mohamed Z Alimohamed used Alamut™️ to develop a decision tree for the prioritization of potential RNA splice variants in cardiomyopathy genes.
As we continue to advance the analyses of SARS-CoV-2, our research experts have identified an important and novel mutational hotspot.
At SOPHiA GENETICS, we believe that diversifying data modalities is the key to have better insights on diseases. That’s why our Radiomics R&D team is working on medical imagery analysis.
