Your Digital Pathology Experts
OracleBio supports Pharmaceutical R&D with detailed quantification of histopathology images, harnessing cutting-edge technology such as AI deep learning and cloud computing to transform preclinical and clinical research.
Leading the way in advanced quantitative image analysis for Pharma R&D
Latest Blogs & Insights
2022 Wrapped – OracleBio’s Year in Review
⚡ Article Synopsis: In this article, OracleBio's Marketing Manager, Mark Laurie, wraps up some of this year’s highlights and gives you a peek at what’s to come in 2023!As 2022 draws to a close, it’s a good time to reflect on the year and appreciate how much we’ve...
6 Ways to Improve the Quality of Quantitative Histopathology Data in 2022
⚡ Article Synopsis: In this article, OracleBio's Deputy Clinical Operations Manager, Nicole Couper, outlines 6 of the most prevalent issues encountered in Histopathology that hinder or negatively impact data quality.The generation of high-quality and robust...
Improving multiplex IF image analysis workflows: Does the perfect solution to autofluorescence exist?
⚡ Article Synopsis: In this article, OracleBio Image Analysis Scientist - Cristina Suanno, discusses ways to overcome autofluorescence, a common issue associated with multiplex immunofluorescent stained images.There are measures that can be taken at the tissue...
Latest Webinars
Living in a Spatial World: Characterizing the Immune Environment in Tumors
About this Webinar: Immunotherapy has transformed the treatment of metastatic and recurrent solid tumors. Advances in technology in the past few years have created unprecedented opportunities to better identify biomarkers of disease processes, especially by using...
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...
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.
OracleBio are a registered Scientist.com supplier.
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.
Our 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.
