Tempus AI launches AI-enabled, multimodal immune profile algorithmic tests

Tempus AI announced that its multimodal immune profile score algorithmic test is now available for research use only. IPS is the first offering of a larger immunotherapy-based portfolio being developed at Tempus to bring next-generation algorithmic diagnostics to the immuno-oncology space. Additionally, Tempus is collaborating with other partners, like Cleveland Clinic, to bring additional immunotherapy-focused algorithmic tests to this growing portfolio, leveraging clinical, laboratory, genomic, and transcriptomic data to identify patients that may respond to immunotherapy. Tempus’ IPS is a pan-cancer, laboratory developed test that assesses a combination of immunotherapy-related biomarkers from prior DNA and RNA test results to calculate an IPS from 0-100 and a classification of either IPS-Low or IPS-High. IPS results can support patient stratification across pan-cancer cohorts to help inform who may or may not respond to immunotherapy. The IPS test is available today to life sciences partners for research use only, and is intended to be available as an add-on option for clinicians ordering Tempus’ xT and xR at the end of the year. Tempus is performing a retrospective, real-world study to evaluate the prognostic and the predictive utility of IPS in advanced pan-cancer patients treated with immune checkpoint inhibitors and will be releasing data later this year. In addition to developing and launching IPS, Tempus has licensed a machine-learning-based algorithmic test developed by Timothy A. Chan, MD, PhD, Cleveland Clinic. As described in Nature Biotechnology, the test demonstrates an ability to predict the efficacy of immune checkpoint blockade based on patient-specific biological, laboratory, genomic, and clinical factors, and adds to our expanding immunotherapy specific biomarker portfolio.