AniClin Provides Pharmacokinetic Studies in Less than 5 Days
AniClin Preclinical Services (“AniClin”), specializing in in vivo services to support early drug development activities, is now offering complete pharmacokinetic (PK) studies in less than five days. This quick turnaround service comes after entering a strategic alliance with Taylor Technology, a subsidiary of PharmaNet Development Group, which specializes in supporting bioanalytical programs of any size from Discovery to Phase IV.
The PK package offers formulation, dosing, PK sampling, bioanalysis (plasma) of 6 timepoints, inclusive of quality control samples and front and back standard curves, all in less than 5 days. AniClin and Taylor Technology work seamlessly to meet this Fast PK timeline which involves the NCE arriving at AniClin where dosing is performed and plasma samples are collected. The samples are then delivered to Taylor Technology within two hours. The plasma samples are immediately processed upon receipt for development of non-GLP bioanalytical protocols, data analysis and estimation of PK parameters. The data and PK estimates are then emailed to the sponsor.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
