Tempus AI, Inc., a leader in artificial intelligence and precision medicine, announced that its multimodal immune profile score (IPS) algorithmic test is now available for research use only (RUO). 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 (LDT) 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 (ICI) 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.
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“Immune checkpoint inhibitors continue to have an incredible impact on patient outcomes, and we are excited to continue building a portfolio of AI-enabled diagnostics and tools to better equip clinicians in understanding which patients may benefit from these kinds of therapies,” said Halla Nimeiri, MD, Chief Development Officer at Tempus. “The IPS test is our first multimodal algorithm to be introduced in the immunotherapy space, and we are excited to advance this field by providing critical insights that inform patient care.”
“It’s a great pleasure to collaborate with Tempus on developing artificial intelligence powered models for better identification of patients who may respond to cancer immunotherapies,” said Timothy A. Chan, MD, PhD, Department Chair of Immunotherapy and Precision Oncology and Professor of Medicine at Cleveland Clinic. “We look forward to working together with Tempus to bring multimodal immunotherapy response prediction assays to patients.”
Tempus’ AI-enabled platform generates the type of rich multimodal data required to develop a novel class of predictive algorithms that can be introduced in the clinic to support personalized patient treatment selection. The IPS and Cleveland Clinic immune response tests joins a growing suite of algorithmic tests offered by Tempus, including Homologous Recombination Deficiency (HRD), Tumor Origin (TO), dihydropyrimidine dehydrogenase (DPYD), and PurISTSM. Each of these tests is designed to predict specific biological signals or clinical endpoints, ultimately supporting clinicians and life science partners as they seek to make more informed decisions for patients.
Source: Businesswire
