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
Why Picture Health?
Shorter Turnaround Time
Routine Clinical Images
Flexibility in modalities
Real-time Guidance
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.
News
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SITC Annual Meeting 2024
Multimodal AI biomarker fusing radiology, pathology, and molecular information for immune checkpoint inhibitor (ICI) res....
Published on: November 5, 2024
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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
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The Lancet Digital Health
A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results....
Published on: July 9, 2024
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Heliyon; Cell Press
Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-....
Published on: June 24, 2024
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ASCO Annual Meeting
AI-based radiomics model for predicting immune checkpoint inhibitor–related pneumonitis (CIP) in patients with advanced ....
Published on: May 29, 2024