PathAI – Biopharma Services

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Biopharma Services

At PathAI we use our deep computational and medical expertise to develop robust, versatile precision pathology solutions which allows us to deliver transformative tools to accelerate translational research, drug development and clinical trials.

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Product Description

Using AI-powered pathology to advance every phase of drug development

Clinical Trial Services

Enable clinical trial success powered by our trial-ready algorithms, comprehensive lab services, and experienced clinical operations team.

  • Prospective algorithms developed under GCP/GCLP/CAP/CLIA/state regulations
  • Molecular phenotype pre-screening using AI-powered predictions from H&E images.
  • End-to-end clinical trial operations and lab services.
PathAi - Digital Pathology

Click on the video below to learn more about our clinical trial services

PathAI - Digital Pathology

Translational Research

Drive biomarker and drug discovery by unlocking novel insights on disease pathophysiology, biomarker expression, and drug response at the tissue and cellular level.

  • Tested, ready-to-deploy translational AI products
  • Custom algorithm development for all disease categories
  • AI spatial analyses for H&E and IHC signatures
  • Access to >50 million slides and samples across oncology, GI, and other diseases

Diagnostic Development & Commercialization

Rapidly advance your precision medicine strategy and move seamlessly from development to commercial launch with bespoke diagnostic assays and AI-powered companion diagnostics.

  • Coordinated design, development, and validation of software as a medical device (SaMD)
  • Regulatory and market access strategy, including stakeholder engagement
  • Strategic partnerships across the healthcare and technology ecosystem
PathAI - Digital Pathology

Real-World Data

License our quantitative histopathology data products that are linked to structured clinical and molecular data from partner reference labs, academic medical centers, and real-world data providers.

  • Identify novel, histopathology-based prognostic and predictive biomarkers and signatures in large real-world patient cohorts.
  • Validate potential biomarker signals identified in translational research with scaled real world patient cohorts.
  • Gain new insights on mechanism of action and drug pathways by linking molecular signatures and clinical outcomes to histopathology.

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