zaya.ai: Revolutionizing Pathology with AI-Powered Precision

zaya.ai is a cutting-edge digital pathology company leveraging machine learning to enhance disease diagnosis, particularly in cancer detection and biomarker scoring. Designed for medical doctors in hospitals and researchers in pharmaceutical companies, the platform delivers rapid, accurate, and standardized diagnostic support through AI-driven analysis of tissue and cell images. With a focus on improving patient outcomes and reducing diagnostic delays, zaya.ai offers a suite of innovative tools including ZayaAI Dx for automated diagnosis, ZayaAI Telepathology Dx for remote collaboration and second opinions, and ZayaAI Pathology LIS—a comprehensive Laboratory Information Management System that streamlines lab operations. The platform excels in intelligent image navigation across multiple magnifications and spatial coordinates, automated identification of critical cell types (such as Mycobacterium Tuberculosis and urothelial carcinoma), and generating probability scores and heatmaps to guide pathologists. By integrating with leading AI systems and utilizing a vast, curated dataset from proprietary and crowd-sourced annotations, zaya.ai ensures high data integrity, regulatory compliance, and operational efficiency. Its mission to prevent and fight cancer through early screening and advanced AI diagnostics is supported by strategic partnerships and a growing R&D team.

Key Features:

• ZayaAI Dx: AI-assisted diagnosis using Whole Slide Images (WSI) with automated detection of Mycobacterium Tuberculosis and urothelial carcinoma.
• ZayaAI Telepathology Dx: Enables remote access, second opinion diagnosis, and global collaboration among pathologists and medical professionals.
• ZayaAI Pathology LIS: All-in-one Laboratory Information Management System with specimen tracking, workflow automation, inventory management, and record keeping.
• Intelligent Image Navigation: Supports multi-magnification analysis and navigation across x-y-z coordinates for precise tissue evaluation.
• Heatmap Generation: Visualizes high-density tumoral cell areas to highlight critical regions in slides.
• Probability Scoring: Provides AI-generated confidence scores for diagnostic findings.
• Automated Workflow Integration: Streamlines histology and cytology processes with dedicated stations and real-time monitoring.
• Data Integrity & Compliance: Ensures secure, auditable data handling aligned with regulatory standards.
• ZayaAI Dashboard: Offers research insights through advanced data analysis and visualization.
• Collaborative Diagnostics: Facilitates secure sharing of imaging and diagnostic results across teams and institutions.
• Strategic AI Integrations: Incorporates Paige’s advanced AI applications for enhanced diagnostic performance.
• Free Demonstration: Available for potential users to explore the platform’s capabilities.

Pricing: zaya.ai offers a Free trial, allowing users to experience its AI-powered pathology solutions firsthand through a no-cost demonstration.

Conclusion: zaya.ai stands at the forefront of AI in digital pathology, combining clinical precision, operational efficiency, and global collaboration to transform cancer diagnosis and research—making it an indispensable tool for modern medical and scientific teams.