Accessible Precision
Oncology Biomarkers

Picture Health unlocks the power of medical imaging with novel AI tools, providing enhanced analysis and insights for cancer diagnosis, prognosis, treatment selection, and tumor monitoring. Px turns routine clinical images into a rich data source, revealing new insights and maximizing the potential of every pixel. We designed Picture Health specifically to support radiologists, pathologists, and oncologists in providing the best care to cancer patients.

Proven
Tech:

25

Patents

52+

Papers & Abstracts

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Why Picture Health?

Shorter-Turnaround-Time.

Shorter Turnaround Time

Px AI provides insights in minutes without additional lab tests.
Routine-Clinical-Images

Routine Clinical Images

We use images you already have, so your workflow stays the same.
Radiology-Pathology

Flexibility in modalities

We can use digital pathology images, CT scans or the combination of both
Real-time-Guidance

Real-time Guidance

Our AI provides actionable information to the clinician.

What is Px?

Px is a new concept building on a decade of scientific research which utilizes imaging data more effectively. It takes advantage of the latest advancements in digitization and AI to analyze biologically relevant features that cannot be quantified manually to provide new insights into the tumor and its surrounding environment. This powerful platform can help researchers uncover novel biomarkers to eventually better inform doctor’s decisions about their patient’s care. And the best part is, Px is applied to images that are routinely available and don’t require any separate orders or changes to existing workflows.

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News

  • ESMO 2024 Annual Congress

    Tumor-immune spatial interactions on NSCLC H&E slide images predicts immunotherapy response: Preliminary external valida....

    Published on: September 18, 2024

     ESMO 2024 Annual Congress
  • The Lancet Digital Health

    A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results....

    Published on: July 9, 2024

     The Lancet Digital Health
  • Heliyon; Cell Press

    Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-....

    Published on: June 24, 2024

     Heliyon; Cell Press
  • ASCO Annual Meeting

    AI-based radiomics model for predicting immune checkpoint inhibitor–related pneumonitis (CIP) in patients with advanced ....

    Published on: May 29, 2024

     ASCO Annual Meeting
  • ASCO Annual Meeting

    An interpretable AI-derived radiology signature to identify patients at risk of progression on the PACIFIC regimen for u....

    Published on: May 29, 2024

     ASCO Annual Meeting