OracleBio services

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. Studies conducted in accordance with this standard provides assurance that the rights, safety and wellbeing of trial subjects are protected and that clinical-trial data are credible (EMA Website). 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 and regulatory guidance. OracleBio can generate quantitative image analysis data to a regulatory standard, allowing you to extract maximum value from your clinical trials. Engaging with you from an early stage, we work with you to devise and support an image analysis strategy to deliver high quality data to a regulatory standard.

Helping you maximise the value of your clinical samples with Quantitative Image Analysis. At OracleBio, we have extensive experience in performing quantitative analysis of tissue samples in clinical research. Our team of expert image analysis scientists performs analysis in a detailed and unbiased manner across digital whole slide tissue images to ensure data is fully representative of the staining and features present.

Fast turnaround, accurate data; enabling you to move forward with confidence. Quantitative Digital Pathology provides detailed cell by cell data to enhance decision making in NASH & Fibrosis research. Our dedicated team of image analysis scientists have extensive experience in the accurate quantification of fibrosis, steatosis and inflammation.  

Adding value to Immuno-Oncology studies with Quantitative Digital Pathology. Quantitative Digital Pathology provides deep insights into the tumor microenvironment (TME), a knowledge which is crucial for understanding the mechanism of action of new oncology immunotherapies or for investigating new biomarkers.