Tempus Study Published in Nature Medicine Demonstrates Best-in-Class Performance of PRISM2 Across Diagnostic and Prognostic Applications

Tempus' multimodal foundation model offers diagnostic-grade precision for cancer detection and unlocks broader applications predicting biomarker status and patient prognosis

CHICAGO--(BUSINESS WIRE)--Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine and patient care, today announced study results demonstrating that PRISM2, a multimodal slide-level pathology foundation model developed in collaboration with researchers from Microsoft, can perform clinically important diagnostic tasks using simple prompts and can be leveraged for a variety of downstream applications. The results were published in Nature Medicine.

PRISM2 outperformed or matched existing slide-level foundation models across a comprehensive set of diagnostic, biomarker and patient outcome prediction tasks. Additionally, when further tuned to specifically predict long-term outcomes, PRISM2 outperformed standalone models, including achieving high performance predicting colorectal cancer recurrence-free survival.

"PRISM2 represents a true leap forward both in terms of scale and multi-modal AI capabilities," said Razik Yousfi, Senior Vice President and General Manager of AI Products at Tempus. “Our Pathology Foundation Models allow us to have a detailed understanding of tissue, unlocking clinical-grade precision and novel research applications capable of predicting patient outcomes and biomarker status. PRISM2 builds on this by aligning whole-slide pathology images with the language of clinical diagnosis through clinical dialogue training. It can seamlessly handle complex diagnostic and prognostic research tasks without requiring specialized fine-tuning, offering a powerful tool to advance precision oncology."

As part of Tempus’ proprietary Pathology Foundation Models, PRISM2 turns routine hematoxylin and eosin (H&E) slides into deep biological insights. By combining large vision models built from pathology images with large language models, it unlocks diagnostic-grade precision in research involving cancer detection, biomarker identification and prognosis prediction.

PRISM2 was trained on a diverse set of 2.3 million whole-slide images and 14 million diagnostic question−answer pairs derived from nearly 700,000 pathology reports, making it the largest multimodal slide-level pathology datasets to date.

To support ongoing research, open science, and other non-commercial and non-clinical use cases, the full PRISM2 model weights are publicly available through Hugging Face at https://huggingface.co/paige-ai/Prism2 and https://huggingface.co/paige-ai/Prism2-survival.

About Tempus AI

Tempus AI 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

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Hanah Heintzelman
hanah.heintzelman@tempus.com