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Summary & Learning Objectives:

Join us for an exclusive webinar showcasing the latest advancements in digital pathology through the integration of AIRA Matrix’s preclinical liver analysis tools on HistoWiz’s PathologyMap™ platform. This partnership leverages cutting-edge AI to enhance preclinical research in liver disease, providing researchers with unparalleled accuracy and efficiency. Learn how these tools can revolutionize your workflow and accelerate insights in liver pathology research.

Webinar learning objectives:

Showcase the Power of PathologyMap™ for Orchestrating Multi-AI Workflows
Discover how PathologyMap™ enables seamless integration and orchestration of multiple AI tools, providing researchers with a powerful platform to enhance digital pathology workflows.

Understand the Role of AI in Liver Pathology
Discover how AI-powered models from AIRA Matrix seamlessly integrate with PathologyMap™ to enhance preclinical liver analysis and improve research accuracy. Further discuss the unmet needs and challenges associated with manual reporting.

Learn About Advanced Liver Analysis Tools
Dive into the specific capabilities of AIRA Matrix’s tools, including automated detection, classification, and quantification of liver tissue features.

Experience the Benefits of Seamless Integration
Learn how the synergy between HistoWiz’s PathologyMap™ and AIRA Matrix’s AI tools delivers a user-friendly, streamlined workflow for liver pathology research.

Explore Applications in Preclinical Research
Discuss practical use cases and applications of these advanced AI tools in accelerating preclinical liver disease research and improving translational study outcomes.

Speaker Biographies:

Akash Parvatikar, PhD is a computational pathologist and AI scientist with a Ph.D. in Computational Biology from Carnegie Mellon-University of Pittsburgh. His work focuses on analyzing histopathology images and spatial tumor heterogeneity using machine learning and graph-based deep learning. As a Product Manager at PathologyMap, he drives innovation in digital pathology.Nitin Singhal, MS, is Head of Products at AIRA Matrix, leading AI-driven medical imaging innovations to advance predictive diagnostics and personalized medicine. With expertise in AI, computer vision, and medical image analysis, he has authored 50+ publications, holds 11 patents, and drives impactful solutions that improve healthcare outcomes.