White Paper: Performance Evaluation of the CE-IVD SOPHiA DDM™️ Dx RNAtarget Oncology Solution (ROS)

Watch our poster spotlight interview, hosting Dr.Gardenia Vargas from Hospital del Mar in Barcelona, Spain discussing the poster presentation at

Discover how we collaborated with the UroCCR network to develop a machine learning model that outperformed the predictive performance of

Discover how a deep learning algorithm, GIInger™, leverages low-coverage sequencing data to identify homologous recombination deficiency (HRD)-induced genomic instability.

We’re often asked how we avoid overfitting when developing predictive machine learning models for clinical research. This technical note explains

Capturing the complexity of human health and disease through machine learning analysis of multimodal data has the potential to drive

Liquid biopsy is revolutionizing precision oncology with a non-invasive approach to tumor profiling. In this blog, we explore its clinical

Streamlined workflow for Chronic Lymphocytic Leukemia study

Despite the advantages of cascade testing, it is a vastly underused cancer prevention strategy. What are the barriers and facilitators

Companion Diagnostics (CDx) are important tools in the practice and application of precision medicine. This introductory blog provides an overview

Explore the realm of precision medicine as we define its significance, uncover current gaps, and shed light on key areas

Deep learning-based approaches to genomic instability assessment can help overcome the limitations of current methods and maximize insights from tumor

In this Spotlight session, Dr.Elena Repetti, Chief of Medical Genetics of TomaLab in Italy shares with us TomaLab’s mission in