Home / Webinars / Using Artificial Intelligence to support Quantitative Digital Pathology in R&D

Using Artificial Intelligence to support Quantitative Digital Pathology in R&D
2 November 2021
By Mark Laurie

About this Webinar:

This session, ‘Using Artificial Intelligence (AI) to support Quantitative Digital Pathology in R&D’, was live on Wednesday 17th November 2021. You can re-watch the full webinar including the Q&A above.

Presented by OracleBio’s Chief Scientific Officer, Lorcan Sherry, it covered:

  • Using AI Deep Learning to improve image analysis accuracy and turn-around time in a pre-clinical tumor IHC study
  • Integrating clinical pathologist input in development and validation of a Deep Learning Tissue Classifier App
  • Advantages of implementing Deep Learning for tissue segmentation and cell detection in multiplex IF studies
  • and more…

Lorcan Sherry

Chief Scientific Officer

As co-founder and Chief Scientific Officer at OracleBio, Lorcan has helped establish the company as a market leader within its field, supporting the digital pathology programmes of major Pharma and Biotech companies around the globe.

Day to day, Lorcan oversees a team of image analysis scientists and pathologists responsible for the execution of Client image analysis R&D studies, while further driving the adoption of innovative techniques and processes to improve the quality and efficiency of our services.

More from OracleBio:

Find out more about our Multiplex IF Analysis

OracleBio's Quantitative Digital Pathology Services

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