Your Digital Pathology Experts
Transforming research possibilities with industry leading digital pathology services. We support Pharmaceutical R&D with detailed quantification and drive the progression of personalised medicine.
GCP Services
Our Good Clinical Practice (GCP) service offering generates quantitative image analysis data using a workflow that is conducted in accordance with GCP principles.
This provides our clients with quality assured data which can be included in a data package for submission to regulatory authorities.
Latest Webinar
Presented by OracleBio’s Chief Scientific Officer, Lorcan Sherry, our latest Webinar 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
Expertise
We provide high precision, quantitative digital pathology services to support pre-clinical and clinical research. Delivering accurate and detailed quantification of nuclear, membrane and cytoplasmic markers on a cell-by-cell basis within Histology, IHC and ISH tissue sections.
Why OracleBio?
We are a specialised CRO, with years of experience delivering high quality data for small, medium and large Pharma. Highly skilled in quantitative digital pathology, we’re able to expertly address complex image analysis studies.
Leading the way in advanced quantitative image analysis for Pharma R&D
Find out more about our digital pathology services
Latest Blogs & Insights
Behind the Scenes: The Role of R&D in OracleBio
In July 2021, the creation of OracleBio’s dedicated Research & Development group marked an important milestone in our growth strategy. In this article, we go behind the scenes and take a retrospective look at what we have achieved over the past year, and give you...
The integration of Deep Learning methods to improve Nuclei Detection and Segmentation
In this article, we will briefly discuss different methods to detect and segment nuclei and in particular, give examples of how artificial intelligence (AI) Deep Learning (DL) methods are increasingly being applied within our organisation to streamline our image...
Using AI to assess Tertiary Lymphoid Structures in H&E and mIF stained Liver tissue
Following on from our previous article on Tertiary Lymphoid Structures (TLS), in which OracleBio clinical pathologist Gabriele Kohnen discussed the potential role of Tertiary Lymphoid Structures in normal and diseased tissues, this article describes some recent work...
Webinars
Using Artificial Intelligence to support Quantitative Digital Pathology in R&D
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...
Conducting Quantitative Image Analysis to Good Clinical Practice (GCP)
Good clinical practice (GCP) is an internationally recognised ethical and scientific standard for designing, recording and reporting trials that involve the participation of human subjects. For quantitative image analysis data to be included in a data package...
From Images to Data: Outsourcing Quantitative Digital Pathology
OracleBio is a global leader in quantitative digital pathology services to Pharma and Biotech clients worldwide. Leveraging industry-leading image analysis software platforms, the company delivers robust data packages to support clinical trials and translational...