Discover how a deep learning algorithm, GIInger™, leverages low-coverage sequencing data to identify homologous recombination deficiency (HRD)-induced genomic instability.
Liquid biopsy is revolutionizing precision oncology with a non-invasive approach to tumor profiling. In this blog, we explore its clinical applications and why the right analytical technologies are needed when searching in a sea of genomic data.
Despite the advantages of cascade testing, it is a vastly underused cancer prevention strategy. What are the barriers and facilitators for cascade testing in hereditary cancer syndromes?
Deep learning-based approaches to genomic instability assessment can help overcome the limitations of current methods and maximize insights from tumor samples.
Cancer management outcomes can strongly benefit from robust and accurate detection of gene fusions. SOPHiA GENETICS developed the SOPHiA DDM™ Dx RNAtarget Oncology Solution to make this possible.
We list 7 reasons to consider SOPHiA DDM™ Dx RNAtarget Oncology Solution for your assays.
Last week we attended the 2022 American Society of Clinical Oncology (ASCO) meeting, gathering the world’s leading researchers in oncology. Read our summary of four groundbreaking presentations on breast cancer research.
Q&A with the Clinical Application Product Manager, Mikhail Pertziger, PhD
Next generation sequencing has greatly enhanced our capability to identify mutations associated with myeloid malignancies. However, accurate and timely detection of complex variants can be challenging.
Microsatellite Instability: how do microsatellites mutations correlate with cancer?
Learn about the technology behind the SOPHiA DDM™ Homologous Recombination Deficiency (HRD) Solution from the lead developer, Dr. Christian Pozzorini.
Learn about the impact of HRD on cancer development, how HRD status may predict sensitivity to certain treatments, and the different HRD testing methods available.
