SCOPE Europe is a hybrid event serving clinical innovation leaders, clinical operations executives, digital leaders, functional heads, category managers, and those responsible for the planning and management of clinical trials. TCS ADD™ was a ‘Premier Sponsor’ of the reputed event, that aims to bring together industry stalwarts from across the globe to share insights into the new era of decentralized, analytics-driven, and patient-centric trials.
TCS ADD™ platforms had multiple playspots across the event that helped drive more than 100 booth footfalls. Interesting discussions and proof of concept notes with pharma around risk based monitoring, data management and clinical supply management rounded off our fruitful presence at the conference.
Session 1 (April 20, 10:15 CET): Medication data – A fundamental cornerstone for successful trials
With the introduction of decentralized trial models, medication adherence has become extremely convoluted. The need for introducing automation and smart medication technologies has never been more acute. In this session, Dr. Vanaken will share easy and practical approaches to automate supply activities and provide personalized patient support across traditional, decentralized, and hybrid models.
Session 2 (April 20, 14:50 CET): Leveraging Feasibility Data and Stimulating Participation Rates to Improve Site Selection, Study Design and Outcome Prediction
Performing early development planning, feasibility assessment, protocol development, and site selection are crucial stages of clinical trials affecting both the time and budget involved in the process. Thus, in this session Dr. Niraj will talk about innovative data analytics capabilities, new protocol development and feasibility assessment processes, and novel approaches to stakeholder communication and collaboration.
Session 3 (April 20, 16:25 CET): Advanced Analytics and Artificial Intelligence in Clinical Trials
This session focuses on AI application in clinical data management, advanced analytics and AI capabilities driving quality compliance. Dr. Niraj will be picking up use cases of AI/ML and will describe implementation of an idea quickly.
Session 4 (April 21, 15:00 CET): Redefining dynamic monitoring with an AI-based predictive analytics approach – A real-life use case
The lack of clinical operations oversight and disjointed communication at site and study levels have proved to be detrimental for the life sciences industry. The need to leverage a data science-led approach is a must to address these complexities. In this session, speakers Dr. Vyas and Lauwers will touch upon the novel approaches and enablers in dynamic monitoring and support them with a real-life use case.
Session 5 (April 21, 16:00 CET): The Role of Patients, Data, and Patient-Facing Technologies in Clinical Trial Design: Lessons from COVID-19 Pandemic
This session will focus on providing measures to be taken for offsetting challenges brought about by COVID-19, including clinical trial design from a site perspective, patient-centric digital solutions, creating an inclusive/equitable environment, collaborating within regulatory affairs.