Tempus AI stock surges as Next platform expands to six new cancer types ahead of ASCO

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Tempus AI stock climbed 11% following the expansion of its AI-enabled Next platform to cover six new cancer types including breast, colorectal, ovarian, prostate, and urothelial cancers. The company also presented breakthrough results from its multimodal foundation models at the 2026 ASCO Annual Meeting, demonstrating significant prognostic value in non-small cell lung cancer patients.

Tempus AI Expands Next Platform to Address Critical Cancer Treatment Gaps

Tempus AI (NASDAQ:TEM) announced a significant expansion of its AI-enabled Next platform just ahead of the 2026 American Society of Clinical Oncology (ASCO) Annual Meeting, triggering an 11% surge in Tempus AI stock over the past week to $51.29, valuing the company at $9.2 billion

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. The Next platform now surfaces patient insights across six new clinical scenarios covering breast cancer, colorectal cancer, ovarian, prostate, and urothelial cancers, establishing a new category of real-time clinical intelligence for precision medicine that moves away from legacy retrospective analyses

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Multimodal Foundation Models Demonstrate Breakthrough Prognostic Value

Source: Benzinga

Source: Benzinga

At ASCO, Tempus AI presented results from its transformer-based multimodal foundation models trained on 2.5 million longitudinal records, including more than 250 million pages of clinical notes, 450,000 digitized medical images, and 500,000 genomic and transcriptomic sequences

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. The model draws from Tempus's database of more than 45 million de-identified patient journeys, with 1.5 million containing sequenced data. In a zero-shot analysis of EGFR-mutant non-small cell lung cancer patients treated with osimertinib, the model demonstrated a C-index of 0.802 for overall survival with a p-value below 0.001, showing a hazard ratio of 4.536 between high- and low-risk patient subgroups .

Addressing Data Fragmentation in Cancer Treatment Through EHR Data Analysis

The expanded platform analyzes unstructured EHR data to identify patients missing guideline-directed testing, introducing advanced intelligence capabilities that allow precision medicine teams to map patient experiences and develop targeted care gap programs

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. "The true challenge in precision oncology is the data fragmentation that hides critical care gaps across the patient journey," stated Ryan Fukushima, CEO of Data and Apps at Tempus. "By expanding Next, we are providing our health systems partners with a 360-degree view to not only identify these gaps but to quantify the truly addressable opportunities for intervention"

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. To demonstrate real-world impact, Tempus presented a study at ASCO 2026 showing improvements in biomarker testing rates for early-stage non-small cell lung cancer patients across 662 cases

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Foundation Models Show Independent Prognostic Value Across Patient Subgroups

The multimodal foundation models produced prognostic value independent of molecular and clinical subgroups, stratifying overall survival of TP53-positive patients with a hazard ratio of 5.96 and progression-free survival in patients without CNS metastasis with a hazard ratio of 1.94

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. Tempus reported the model assessed cohorts mirroring clinical trials KEYNOTE-189, FLAURA-2, and DESTINY in non-small cell lung cancer, outperforming standard Cox-PH modeling approaches in zero-shot settings without requiring additional data or model fine-tuning

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. "Foundation models, combined with agentic workflows, will help unlock the full potential of precision medicine," said Eric Lefkofsky, founder and CEO of Tempus AI

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Recent FDA Approval and Platform Enhancements Signal Competitive Positioning

Tempus AI recently received FDA approval for a tumor-only indication for its xT CDx next-generation sequencing platform, making Tempus the first laboratory to hold FDA companion diagnostic approval for both tumor-only and tumor-normal comprehensive genomic profiling

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. The company also upgraded its Tempus Hub platform by integrating generative AI capabilities to assist healthcare providers, connecting AI capabilities with real-time patient data and offering access to test orders, results, treatment options, clinical trial information, and biomarker tracking

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. The company's database now contains more than 500 petabytes of data, including over 400,000 cancer records with genomic, transcriptomic, imaging, and clinical data

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. While Tempus continues investing heavily in AI development, the company remains unprofitable with revenue of $1.36 billion over the last twelve months, though sales surged 70% year-over-year

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