Country
State
Cities
Bridging Vision & Precision
2018
< $25/hr
10 - 49
United States
We're building next generation computational technology that unlocks insights from each sample for doctors to optimize patient outcomes
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11 Times Square Fl 37 NYC New York United States 10036
3107332100
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What is the primary focus of Paige?
The company specializes in computational pathology, utilizing artificial intelligence to transform the diagnosis and treatment of cancer. By developing digital pathology products, the platform assists pathologists in identifying, quantifying, and characterizing cancer cells more accurately and efficiently.
How does Paige assist pathologists in their daily work?
The technology provides AI-powered tools that act as a digital assistant. These tools help pathologists detect potential cancer areas in tissue samples, offering insights that can improve diagnostic accuracy and speed up the review process for complex cases.
Is the technology used by Paige FDA-cleared?
Yes, the company has achieved significant regulatory milestones. For instance, the Paige Prostate software was the first AI-based product for pathology to receive FDA de novo clearance, demonstrating a commitment to rigorous clinical validation and safety standards.
Which medical field does this company serve?
The primary focus is oncology, specifically within the field of pathology. The solutions are designed to support clinical laboratories, hospitals, and healthcare systems that manage cancer diagnostics and patient care.
Can these AI tools be integrated into existing laboratory workflows?
The platform is designed to be compatible with standard digital pathology workflows. It integrates with existing laboratory information systems and digital scanners, allowing pathologists to incorporate AI insights without disrupting their established diagnostic routines.
What is the FullFocus platform?
FullFocus is an FDA-cleared digital pathology viewer. It allows pathologists to view, manage, and analyze digital slides on a computer screen, providing a high-resolution interface that supports clinical decision-making and remote collaboration.
Does the company offer solutions for research purposes?
Beyond clinical diagnostic tools, the company provides resources for biopharmaceutical and research organizations. These solutions help researchers analyze large datasets of tissue images to accelerate drug discovery and clinical trial development.
How does the technology improve diagnostic accuracy?
By applying deep learning algorithms to digitized tissue slides, the software identifies patterns and features that might be subtle or easily overlooked by the human eye. This reduces diagnostic variability and helps ensure more consistent results across different clinical settings.
Where is the company headquartered?
The company is based in New York City, where it operates as a leader in the intersection of artificial intelligence and clinical pathology.
Does the company provide support for clinical trials?
Yes, the technology is utilized in clinical trials to help standardize the assessment of patient samples. This ensures that data collected during research is accurate and reliable, which is critical for the development of new cancer therapies.
How can healthcare providers get in touch with the company?
Healthcare providers and organizations interested in implementing these solutions can reach out through the contact forms available on the official website. The team provides information on product demonstrations, partnership opportunities, and technical support.
What kind of data does the AI analyze?
The AI analyzes whole-slide images (WSI), which are high-resolution digital scans of glass tissue slides. These images are processed through advanced algorithms to detect, grade, and quantify various types of cancer, such as prostate cancer.
Is the software suitable for large hospital networks?
The solutions are scalable and designed to meet the needs of large clinical environments. By digitizing pathology, hospital networks can improve operational efficiency, reduce turnaround times, and facilitate easier consultation between specialists.
How does the company ensure the quality of its AI models?
The company develops its models using massive datasets of high-quality, annotated clinical images. These models undergo extensive testing and validation against clinical standards to ensure they perform reliably in real-world diagnostic scenarios.
Does the company collaborate with other technology providers?
Yes, the company maintains strategic partnerships with various digital pathology hardware and software vendors. These collaborations ensure that the AI software works seamlessly with a wide range of scanners and laboratory information systems.
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