9th Digital Pathology & AI Congress: Europe, London

OracleBio contacts and materials

OracleBio Event Contacts

Lorcan Sherry

Lorcan Sherry

Chief Scientific Officer

Marianne Cowan

Marianne Cowan

QDPE Project Manager

Cristina Suanno

Cristina Suanno

Image Analysis Scientist

Caitlin Rutherford

Caitlin Rutherford

Image Analysis Scientist

Event Materials

To view/download the materials, please click the respective thumbnail images below:


📄 OracleBio and Akoya Biosciences: “Quantitative spatial phenotyping of the tumor microenvironment in NSCLC tissue microarray cores using 6-plex multiplex imaging technology and AI-powered phenotyping analysis


The aim of this study was to utilize Akoya’s multiplexed imaging technology and associated Artificial Intelligence (AI)-powered image analysis methods to identify populations of immune cells and their functional status, as well as their interactions within the tumor microenvironment in a set of NSCLC tissue cores from patients treated with first-line standard-of-care chemotherapy and second-line immuno-oncology treatment.

Multiplex Digital Phenotyping of the Tumour Microenvironment AACR 2021

📄 OracleBio and Bristol Myers Squibb: “A Quantitative Digital Pathology Workflow to Manage Technical Challenges within Multiplex IF R&D Studies


This study shows details of OracleBio’s robust image analysis workflow in Indica Labs HALO, and how it helped overcome common technical issues encountered in a large multiplex IF (mIF) non-small cell lung cancer (NSCLC) study.


📄 OracleBio’s Good Clinical Practice (GCP) image analysis services brochure:

  • An overview of GCP and its benefits
  • Our GCP study workflow
  • Our quality management framework


📄 OracleBio Immuno-Oncology R&D image analysis services brochure:


📄 OracleBio NASH/NAFLD & Fibrosis image analysis services brochure:


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OracleBio is a global leader in quantitative digital pathology, providing image analysis services to Pharma and Biotech clients worldwide.

We support Pharmaceutical R&D with detailed quantification of Histopathology images, transforming research possibilities, and harnessing cutting-edge technology such as AI deep learning to enhance our workflow.

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