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 submitted to regulatory authorities, it is essential that it is generated using a workflow that is in accordance with GCP principles.
OracleBio have recently launched GCP Image Analysis Services, the implementation of which was driven by Clinical Operations Manager, Alison Bigley. In this webinar, Alison will share insights from the GCP implementation journey and discuss:
- Key drivers in the implementation of GCP for Quantitative Image Analysis
- Why GCP is important and the benefits of working to GCP
- What is involved in conducting Quantitative Image Analysis Studies in accordance with GCP
Learn more about our GCP services by downloading our GCP Services Brochure below:
Clinical Operations Manager
Alison Bigley is OracleBio’s Clinical Operations Manager and recently led the implementation of GCP services at the company. Alison previously spent 25 years at AstraZeneca, where she established and led a global digital pathology platform which included programming in proprietary software, application development and GxP validation. Alison has considerable experience in histology, immunohistochemistry and imaging on projects across various therapeutic areas involving pre-clinical, safety and translational medicine.
More from OracleBio:
Analysis of the contribution of macrophages to the overall tumor PD-L1 microenvironment using a screening multi-tumor tissue microarray and rapid multiplex fluorescence digital phenotyping approach
OracleBio analysis data is presented at at American Society of Clinical Oncology (ASCO) in June 2022. The poster, presented by Marie Cumberbatch from TriStar Technology Group, is collaborative work between TriStar, Ultivue, and OracleBio. The work involved multiplex...
Utilizing Quantitative Digital Pathology techniques for analysis of Hepatitis B liver samples stained with a 12-plex multiplex-IF assay
OracleBio data is presented at the 8th Digital Pathology & AI Congress: USA 2022 in New York. The poster, produced in collaboration with Gilead, involved a comprehensive evaluation of Hepatitis B liver samples stained using a 12-plex assay, with this poster...
A Quantitative Digital Pathology Workflow to Manage Technical Challenges within Multiplex IF R&D Studies
Click the thumbnail image below to view or download the high-resolution poster PDF:More from OracleBio:Stay up to date with OracleBio Sign up to our mailing list to stay informed about news, webinars, events and more
Find out more about our Multiplex IF Analysis
OracleBio's Quantitative Digital Pathology Services
Stay up to date with OracleBio
Sign up to our mailing list to stay informed about news, webinars, events and more