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Caris Life Sciences

Caris Life Sciences

Pioneer in precision medicine.

Irving, Texas, United States

Precision oncology platform with IPO in 2025

Caris Life Sciences logo
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How We Help

Problem Statement

Caris Life Sciences addresses the challenge of providing individualized patient diagnoses and treatment by moving healthcare from intuitive to empirical medicine, utilizing precise molecular insights to improve patient outcomes.

Core Technology

Comprehensive molecular profiling, including Whole Exome Sequencing (WES) and Whole Transcriptome Sequencing (WTS) of both tissue and blood samples, advanced Artificial Intelligence (AI) and machine learning algorithms (e.g., Caris CODEai, Caris GPSai), proprietary aptamer-based proteomic profiling platforms (ADAPT), and whole slide imaging.

Key Differentiators

Comprehensive Molecular Profiling; Massive Clinico-Genomic Database; Advanced AI and Machine Learning; Focus on Precision Medicine; Innovative Solutions; Patient-Centric Approach; Strategic Partnerships.

Clinical Focus

Precision medicine, primarily in oncology (cancer detection, diagnosis, monitoring, and therapy selection), expanding to cardiology, neurology, metabolic conditions, hematologic malignancies, and other chronic diseases.

Target Customers

Physicians, Patients, Pharmaceutical companies, Research organizations, Biopharma companies.

Product Stage

GA/Mature

Company Info

Business Model
B2B, Services, Partnerships, Licensing. The company provides comprehensive molecular profiling services, R&D services for biopharma companies, and generates revenue through collaborations and licensing agreements with pharmaceutical companies and research organizations.
Founded
2004
Total Funding
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Website
www.carislifesciences.com/

Categories

Precision Medicine/DiagnosticsAI / ML

Disease Areas

Technologies

Whole Exome SequencingMachine LearningMolecular ProfilingWhole Transcriptome Sequencing (WTS)Aptamer-Based ProfilingWhole Slide ImagingAI/MLProteomics
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What do you think of Caris Life Sciences?

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Innovation

Clinical Benefit

Feasibility

Scalability

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