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Tempus

Tempus utilizes artificial intelligence and multimodal real-world data to enhance precision medicine by accelerating the discovery of treatment targets and identifying suitable clinical trials for patients. The platform enables healthcare providers to make informed treatment decisions, improving patient outcomes through personalized therapy options.

Chicago, United StatesFounded 20152.6K50K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

The development of precision medicine is hindered by the difficulty of rapidly identifying effective treatment targets and matching patients to appropriate clinical trials. Healthcare providers need more efficient ways to analyze complex patient data and make informed treatment decisions.

Solution

Tempus leverages artificial intelligence and multimodal real-world data to accelerate the discovery of treatment targets and improve clinical trial matching for patients. The platform analyzes diverse data types, including genomic sequencing, imaging, and clinical records, to provide healthcare providers with actionable insights. By applying AI algorithms to this data, Tempus aims to predict treatment effectiveness, identify potential clinical trial candidates, and diagnose diseases earlier. The company's technology assists in personalizing therapy options and improving patient outcomes through data-driven decision-making.

Target Audience

The primary users are healthcare providers, including oncologists and other physicians, as well as pharmaceutical and biotech companies involved in drug development.

Features

  • AI-enabled clinical assistant to streamline data analysis and treatment planning
  • Identification of gaps in care pathways to improve patient management
  • LENS platform for accessing and analyzing multimodal real-world data
  • Algorithmic models connected to assays to provide additional insights
  • Clinical trial matching service to connect patients with relevant studies
  • AI-based algorithm for identifying patients at increased risk of atrial fibrillation (AFib)
This profile is AI-generated and may contain inaccuracies.