Tempus Announces the Launch of Paige Predict

Key Terms

digital pathology medical

Digital pathology is the process of converting traditional microscope slides into high-resolution digital images and using software, cloud systems, and sometimes AI to view, analyze, store and share those images. It matters to investors because it can speed diagnosis, enable remote consultations, reduce laboratory bottlenecks and create software-driven services and recurring revenue—like the shift from film to digital photography, unlocking scale, efficiency and new monetization opportunities in healthcare.

hematoxylin and eosin (H&E) medical

A standard laboratory staining method used on tissue samples to reveal cell and tissue structure under a microscope: hematoxylin colors cell nuclei blue and eosin colors other tissue parts pink, creating contrast much like coloring a map to make roads and landmarks easy to see. Investors should care because H&E is the routine test pathologists use to diagnose disease, judge treatment effects in clinical trials, and confirm biopsy-based endpoints, so its findings can directly influence trial outcomes, regulatory decisions, and a medical product’s commercial prospects.

whole slide images medical

A whole slide image is a high-resolution digital scan of an entire microscope slide that captures tissue or cell samples as a single, zoomable picture. Investors should care because these digital slides let doctors and algorithms review, share and analyze samples remotely and at scale—like turning a physical filing cabinet of slides into searchable cloud photos—enabling faster diagnoses, automated insights, workflow efficiency and new software-driven revenue opportunities.

biomarkers medical

Biomarkers are measurable indicators found in the body, such as substances in blood or tissues, that reveal information about health or disease. For investors, they can signal how well a medical treatment is working or whether a disease is developing, helping to assess the potential success or risks of healthcare companies or innovations. Think of biomarkers as biological signals that provide clues about a person’s health status.

next-generation sequencing medical

Next-generation sequencing is a set of laboratory techniques that read large amounts of DNA or RNA quickly and cheaply by processing millions of short genetic fragments in parallel, rather than one at a time. For investors, it matters because faster, lower-cost genetic data powers drug discovery, diagnostic tests and personalized medicine, creating scalable revenue opportunities and competitive advantages for companies that own the technology or services.

immunohistochemistry medical

Immunohistochemistry is a laboratory method that uses labelled antibodies to highlight specific proteins inside thin slices of tissue, producing visible color where those proteins are present—like using colored highlighters to mark words on a page. Investors care because it provides concrete evidence about whether a drug hits its intended target, whether a diagnostic test works, and how a treatment affects tissues, all of which can affect clinical success, regulatory approval, and market value.

quantity not sufficient medical

A lab report note meaning the sample provided was too small or of poor quality to run the required test, so no reliable result can be produced. For investors this signals potential delays or repeat procedures in clinical trials, regulatory filings, or product testing—like needing to retake a photograph because it was blurred—adding time, cost and uncertainty to a company’s development or approval timeline.

foundation model technical

A foundation model is a large artificial intelligence system trained on vast, diverse data so it can be adapted to many tasks—like a universal engine that can be tuned to drive different products or services. Investors care because these models can lower the cost and time to build new AI-enabled offerings, create competitive advantages or concentration risks, and drive capital needs for compute, talent and regulation that affect company value.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

Following the acquisition of Paige in 2025, Tempus launches its new AI-powered, biomarker prediction solution for digital pathology

CHICAGO--(BUSINESS WIRE)-- Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced the launch of Paige Predict, a suite of cutting-edge digital pathology applications that analyze hematoxylin and eosin (H&E) whole slide images to help inform testing decisions. The AI-powered solution is designed to predict the likely presence or absence of clinically actionable and relevant biomarkers directly from a single H&E slide, offering physicians insights even when tissue samples are insufficient for full molecular profiling.

As the demand for next-generation sequencing (NGS) and immunohistochemistry (IHC) testing grows, so does the challenge of limited tissue availability. When a sample is “quantity not sufficient” (QNS), patients can face delays of days or weeks for testing results, waiting for repeat biopsies or alternative testing, ultimately prolonging uncertainty and potentially impacting treatment options. Paige Predict’s ability to use an H&E image to identify biomarkers that are more or less likely to be present in the specimen can be used by clinicians to inform the sequence in which they will order confirmatory tissue-based tests, maximizing the likelihood of receiving an actionable result before exhausting tissue.

Leveraging Tempus and Paige’s intelligent digital pathology platform and proprietary AI products, Paige Predict identifies critical biomarker information from even scarce amounts of tissue and analyzes H&E images to predict the likelihood of 123 biomarkers and oncogenic molecular pathways in 16 cancer types, including NSCLC, prostate, breast, pancreatic, colorectal, and more. Results are automatically delivered with the clinical report to ordering physicians.

Paige Predict was built using Paige’s foundation model and a combined, multimodal cohort from Tempus and Paige, which contains de-identified data on over 200,000 patients. The model has been rigorously validated to demonstrate performance, generalizability and robustness across multiple, diverse datasets, including a large-scale cohort from Tempus.

“Tissue can be scarce, but insights don’t have to be," said Ezra Cohen, MD, Chief Medical Officer, Oncology at Tempus. “Paige Predict overcomes one of the biggest barriers in NGS by delivering actionable information to inform critical testing decisions for patient care when sequencing isn’t feasible. This is a defining moment as Tempus and Paige continue our work together following last year’s acquisition, demonstrating the transformative technology our teams are bringing to digital pathology.”

About Tempus

Tempus is a technology company advancing precision medicine through the practical application of artificial intelligence in healthcare. With one of the world’s largest libraries of multimodal data, and an operating system to make that data accessible and useful, Tempus provides AI-enabled precision medicine solutions to physicians to deliver personalized patient care and in parallel facilitates discovery, development and delivery of optimal therapeutics. The goal is for each patient to benefit from the treatment of others who came before by providing physicians with tools that learn as the company gathers more data. For more information, visit tempus.com.

Forward Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended (the “Securities Act”), and Section 21E of the Securities Exchange Act of 1934, as amended, about Tempus and Tempus’ industry that involve substantial risks and uncertainties. All statements other than statements of historical facts contained in this press release are forward-looking statements, including, but not limited to, statements regarding the benefits of Paige Predict in biomarker testing and clinical care. In some cases, you can identify forward-looking statements because they contain words such as “anticipate,” “believe,” “contemplate,” “continue,” “could,” “estimate,” “expect,” “going to,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “should,” “target,” “will,” or “would” or the negative of these words or other similar terms or expressions. Tempus cautions you that the foregoing may not include all of the forward-looking statements made in this press release.

You should not rely on forward-looking statements as predictions of future events. Tempus has based the forward-looking statements contained in this press release primarily on its current expectations and projections about future events and trends that it believes may affect Tempus’ business, financial condition, results of operations and prospects. These forward-looking statements are subject to risks and uncertainties related to: Tempus’ financial performance; the ability to attract and retain customers and partners; managing Tempus’ growth and future expenses; competition and new market entrants; compliance with new laws, regulations and executive actions, including any evolving regulations in the artificial intelligence space; the ability to maintain, protect and enhance Tempus’ intellectual property; the ability to attract and retain qualified team members and key personnel; the ability to repay or refinance outstanding debt, or to access additional financing; future acquisitions, divestitures or investments; the potential adverse impact of climate change, natural disasters, health epidemics, macroeconomic conditions, and war or other armed conflict, as well as risks, uncertainties, and other factors described in the section titled “Risk Factors” in Tempus’ Quarterly Report on Form 10-K for the fiscal year ended December 31, 2024 filed with the Securities and Exchange Commission (“SEC”) as well as in other filings Tempus may make with the SEC in the future. In addition, any forward-looking statements contained in this press release are based on assumptions that Tempus believes to be reasonable as of this date. Tempus undertakes no obligation to update any forward-looking statements to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260121403553/en/

Hanah Heintzelman
hanah.heintzelman@tempus.com

Source: Tempus AI, Inc.