Chicago, Illinois, U.S. | April 15, 2026
Tempus AI, Inc., in collaboration with Predicta Biosciences, has announced the expansion of access to its ultrasensitive whole-genome sequencing (WGS) assay, GenoPredicta™, designed to advance precision oncology and measurable residual disease (MRD) monitoring in hematologic malignancies. This collaboration represents a significant step forward in integrating artificial intelligence, genomics, and liquid biopsy technologies to enable deeper molecular insights and improve clinical research and therapeutic development. The assay delivers high-resolution genomic profiling from peripheral blood or bone marrow, offering a scalable and minimally invasive solution to support early detection, treatment optimization, and disease monitoring in blood cancers.
Ultrasensitive Genomic Profiling Enhances Cancer Detection
The GenoPredicta™ assay introduces a powerful advancement in cancer diagnostics by combining flow cytometry with whole-genome sequencing, enabling the detection of genetic alterations such as single nucleotide variants (SNVs), insertions/deletions (indels), copy number variations (CNVs), and structural variants (SVs).
Notably, the assay can identify genomic changes from as few as 50 tumor cells, achieving sensitivity levels as low as one cancer cell among one million healthy cells, which significantly expands testing capabilities in patients with low tumor burden. This level of sensitivity allows clinicians and researchers to gain comprehensive insights into tumor biology, risk stratification, and therapy resistance mechanisms, making it a valuable tool in both clinical research and precision medicine applications.
AI-Driven Platform Supports Precision Medicine and Clinical Trials
The collaboration between Tempus and Predicta Biosciences highlights the growing importance of AI-enabled diagnostic platforms in advancing oncology research and drug development. The GenoPredicta™ assay is currently available to life sciences partners for exploratory research and clinical development programs, supporting biomarker discovery and optimizing clinical trial design.
By consolidating multiple testing modalities into a single unified workflow, the assay replaces traditional fragmented diagnostic approaches, improving efficiency and data integration. Importantly, the assay demonstrates 100% concordance between peripheral blood and bone marrow samples, reducing the need for invasive biopsies while maintaining high diagnostic accuracy. This innovation aligns with the broader shift toward non-invasive, data-driven healthcare solutions that enhance patient experience and clinical outcomes.

