machine learning
The model uses clinical and genomic features to predict whether patients will respond to first-line CDK4/6 and endocrine therapy.
A half-dozen hospital systems plan to implement the tool, which combs through patient medical records to identify those suspected to have high Lp(a).
Caris Life Sciences, ECOG-ACRIN to Analyze Breast Tumor Samples From Landmark TAILORx Study
Through a new partnership, Caris will use its comprehensive genomic profiling tests to sequence more than 10,000 early-stage breast tumors collected in TAILORx.
Avacta Therapeutics, Tempus Partner to Advance FAP-Based Peptide Drug Conjugates
Avacta will tap into Tempus' real-world data and machine-learning abilities to develop drugs with its fibroblast activation protein (FAP)-based platform.
Cofactor Genomics Immunotherapy Response Test Nabs Medicare Coverage
The assay evaluates a patient's tumor immune profile against Cofactor's high-dimensional RNA-based Health Expression Models to predict a patient's therapy response.