Companies Choose ALPHADAS®, Logos Technologies Early Phase EDC System
Richmond Pharmacology, Community Research, and Fundación de Investigación de Diego, Puerto Rico has selected the ALPHADAS' early phase, e-source data capture system and site automation software suite which gives clinical research sites tools to accelerate and streamline their clinical trial operations and service. ALPHADAS is to be implemented initially in Richmond Pharmacology's MHRA Phase I Accredited facility, located in MayDay Hospital, London, UK as well as in Community Research's research facility, located in Cincinnati, Ohio, USA. ALPHADAS will be used in Fundación's new, purpose built 20,000 sq ft, research facility, located in San Juan, Puerto Rico. Fundacion de Investigacion new facility includes a 30 bed phase 1 unit, expanded ambulatory clinical trials space, and a bio-analytical laboratory.
ALPHADAS, is an e-Source, pro-active EDC system designed specifically for early phase clinical trials. Logos Technologies continues to invest in ALPHADAS, increasing its performance and functionality.
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.
