What is Tempus?
Tempus is a cutting-edge healthcare technology company that leverages artificial intelligence to transform precision medicine. The platform integrates genomic sequencing, clinical data analysis, and advanced machine learning algorithms to provide comprehensive insights for healthcare providers, life sciences companies, and patients.
The company's suite of AI-powered solutions includes genomic profiling, algorithmic testing, clinical trial matching, and real-world data analysis. Tempus maintains partnerships with leading academic medical centers, oncologists, and pharmaceutical companies, processing millions of patient records to power scientific discovery and improve patient outcomes.
Features
- AI-Enabled Analysis: Comprehensive analysis of genomic and clinical data using machine learning
- Clinical Trial Matching: Identification of potentially life-saving clinical trials for patients
- Genomic Profiling: Advanced DNA sequencing and analysis for personalized treatment
- Digital Pathology: AI-powered pathology analysis and insights
- Real-World Data Analysis: Processing of millions of patient records for research
- EHR Integration: Seamless integration with electronic health records
- Multi-Modal Data Processing: Analysis of various data types including genomic, clinical, and imaging data
Use Cases
- Personalized cancer treatment planning
- Drug development and clinical trials
- Early disease diagnosis
- Treatment effectiveness prediction
- Clinical research and discovery
- Patient care optimization
- Healthcare decision support
FAQs
-
How many healthcare providers are connected to Tempus?
Over 50% of oncologists in the US are connected to Tempus through sequencing, clinical trial matching, and research-enabled partnerships. -
What types of data does Tempus process?
Tempus processes multiple types of data including genomic sequencing, clinical records, pathology images, and real-world data, managing over 200 petabytes of data. -
How many patients has Tempus helped with clinical trials?
Tempus has identified over 30,000 patients for potential enrollment into clinical trials in their network.
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