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OmniScreen Prescreening

AI-driven biomarker pre-screening from histopathology images to accelerate patient enrollment and reduce molecular testing costs.

Solution by Paige
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Overview

Paige OmniScreen Prescreening is an AI-driven pre-screening solution developed by Paige, now a Tempus company, designed to bridge the gap between pathology and genomics. By offering a faster, more cost-effective, and tissue-sparing alternative to traditional molecular testing, OmniScreen enables study participant selection, more efficient testing strategies, and streamlined decision-making across both clinical and research settings.

Traditional molecular testing can be costly, time-consuming, and require significant tissue resources. Paige OmniScreen⁺™ addresses these challenges by replicating a targeted biomarker gene panel of 505 genes and predicting over 1,600 biomarkers in minutes, making it a powerful tool for oncology research, drug development, and clinical trial pre-screening.

A Smarter Approach to Molecular Testing

  • Accelerate Biomarker Discovery & Research: OmniScreen links phenotypic and genomic patterns, helping to identify new therapeutic targets and optimize biomarker-driven discovery at scale.
  • Expedite Patient Enrollment: Quickly pre-screen patients for genomic-related eligibility criteria, limiting molecular testing to only those meeting inclusion criteria, thereby reducing recruitment timelines and costs. High-value cohorts can be identified based on AI-driven biomarker insights.
  • Reduce Costs & Conserve Tissue: Narrow down the pool of potential participants to those meeting genomic-related inclusion criteria, preserving finite tissue resources by sending only pre-screened candidates to confirmatory next-generation sequencing (NGS) testing.

Why Use Paige OmniScreen?

  • AI-Powered Confidence: Enables scalable biomarker analysis without the need for large datasets or additional tissue samples.
  • Optimized for Diverse Applications: Supports oncology research, drug development, and clinical trial pre-screening, while enhancing biomarker-driven discovery, early-phase research, and commercialization strategies.
  • Scalable and Ready for Integration: Designed to integrate seamlessly into existing clinical and research workflows across global sites.

Integration into Clinical Trials

Advancing precision medicine requires efficient patient selection, cost-effective molecular profiling, and seamless clinical trial integration. Paige OmniScreen can be integrated into clinical trials in multiple capacities:

  • As a pre-screening tool to enhance patient selection
  • As a predictive assay for identifying responders versus non-responders
  • As an on-label companion diagnostic (CDx) to support regulatory approval pathways

Real-World Application: Clinical Trial Pre-Screening

Paige was the first in the industry to successfully deploy a digital AI biomarker into a clinical trial setting across 90 global sites in collaboration with a leading pharmaceutical partner. Key outcomes from this deployment included:

  • Rapid insights: Investigators received results within 1 hour, enabling informed molecular testing decisions.
  • A centralized workflow: Digitized whole slide images were transmitted from three contract research organizations (CROs), with AI results shared directly with investigators at individual clinical sites.
  • Regulatory compliance: The solution was built under an ISO 13485-compliant Quality Management System.
  • Hassle-free integration: Whole slide images were uploaded daily to the Paige platform and the AI analysis was run automatically.

OmniScreen is internally validated as an AI pre-screening mechanism and is designed to integrate into existing digital pathology infrastructure, supporting pharmaceutical partners, clinical research organizations, and healthcare institutions seeking to optimize precision medicine workflows at scale.

Meta

Domain
Digital Pathology & Imaging
Subdomain
Tissue Biomarker Quantification
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
Preclinical / Pre-MarketClinical
Target user(s)
Research ScientistBioinformatician / Computational ScientistClinical / Diagnostic Professional
Compliance standard(s)
ISO 13485
Tag(s)
Uses AI