SCOPE Europe 2022

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.

Key Stats

50+

pharma logos

pharma logos at the event

250+

attendees

in-person attendees

100+

booth

booth footfalls

10,000+

engagements

digital engagements

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.

View Recording

Speakers

Dr. Paul Ingram

Industry Leader

Supply Management, TCS ADD™ Connected Clinical Trials, TCS

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.

Speakers

Dr. Niraj Vyas

Associate VP and Head

TCS ADD Analytics and Insights

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.

Speakers

Dr. Niraj Vyas

Associate VP and Head

TCS ADD Analytics and Insights

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 Saurabh and Kris will touch upon the novel approaches and enablers in dynamic monitoring and support them with a real-life use case.

View Recording

Speakers

Saurabh Das

Head, Research and Innovation

TCS ADD™ Analytics and Insights, TCS

Kris Lauwers

Data Science Manager

Janssen R&D

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.

Speakers

Dr. Hilde Vanaken

Head, Industry Leaders

Life Sciences and Healthcare, TCS

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Key Stats

pharma logos

attendees

booth

engagements

Session 1 (April 20, 10:15 CET): Medication data – A fundamental cornerstone for successful trials

Speakers

Dr. Paul Ingram

Session 2 (April 20, 14:50 CET): Leveraging Feasibility Data and Stimulating Participation Rates to Improve Site Selection, Study Design and Outcome Prediction

Speakers

Dr. Niraj Vyas

Session 3 (April 20, 16:25 CET): Advanced Analytics and Artificial Intelligence in Clinical Trials

Speakers

Dr. Niraj Vyas

Session 4 (April 21, 15:00 CET): Redefining dynamic monitoring with an AI-based predictive analytics approach – A real-life use case

Speakers

Saurabh Das

Kris Lauwers

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

Speakers

Dr. Hilde Vanaken

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