Building Web-Based Automation and Custom Features Using Python and the GraphQL API of HALO®

Date: 21 September 2023
Time: 8:00 – 9:00 PST | 11:00 – 12:00 EST | 16:00 – 17:00 GMT
Location: Webinar

Available on-Demand
Learn how Novartis leverages HALO’s GraphQL API to streamline oncology pipelines

Summary

 
HALO/HALO Link offer a comprehensive set of image viewing, analysis and display tools. However, linking HALO results to external tools such as legacy LIMS software and emerging image analysis and AI frameworks has been challenging. The emergence of Indica Labs’ GraphQL API has allowed our group to, for the first time, connect our HALO Link system to critical internal tools such as our heavily-customized eSlide Manager (outside of the 3rd party integration offered by Indica). In addition, we can now enable bidirectional integration of custom Python analyses focused on both image analysis and machine learning solutions for complex pathology-based projects. This presentation will illustrate a suite of tools developed by our group utilizing the GraphQL framework to streamline existing workflows within Novartis and begin to integrate pathology-based tools from across the organization into the HALO environment.

Learning Objectives

  • Learn how Novartis connected HALO Link to a heavily-customized eSlide Manager  
  • Discover how Novartis is using integrated Python scripts for image analysis and machine learning
  • See how Novartis is using the GraphQL framework to streamline existing workflows

Presenter

James Huessy
Senior Expert | Data Science   
Novartis

James Huessy is a Data Engineer for the Oncology Pathology Biomarkers group within the Oncology department at Novartis where he builds tools to streamline the department’s digital pathology efforts. Most notably, James has been building tools to bridge the many 3rd party backends used by the department with HALO’s backend.

Prior to this position, James was a Data Engineer in the healthcare tech sector where he built and ran pipelines to ingest terabytes of data into a centralized data warehouse. James also worked at the Department of Innovation and Technology at the City of Boston creating backend tools to bridge legacy systems and migrate data. James has a Master’s degree in Urban informatics from Northeastern University where he was a Research Assistant at the Dukakis Center for Urban and Regional Policy.   

Free Demo
Free Demo
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