Executive Update

Transforming Clinical Trial Management with the COVID-19 Prediction Dashboard

Posted October 21, 2020 in Data Analytics & Digital Technologies
One of the many consequences of the COVID-19 crisis has been difficulty in continuing to enroll and run clinical trials, which typically involve large numbers of people interacting in multiple geographies. In this Executive Update, we highlight a new, risk-based predictive analytical approach, powered by machine learning.
About The Author
Ben van der Schaaf
Ben van der Schaaf is a Cutter Consortium Senior Consultant and a Partner at Arthur D. Little (ADL), based in New York City. He is an experienced management consultant and advisor to the pharmaceutical industry with an international background in finance and general management. Mr. van der Schaaf focuses on the life sciences and healthcare sector, specifically working in pharmaceutical R&D and commercial operations. His expertise includes… Read More
Thomas Unger
Thomas Unger is a Senior Consultant with Cutter Consortium’s Data Analytics & Digital Technologies practice and Associate Director of Arthur D. Little (ADL)'s US Healthcare & Life Sciences practice. Dr. Unger specializes in complex problem solving in the biopharmaceutical, medtech, and healthcare sectors. He has extensive experience leading programs and teams as they envision and successfully develop innovative digital- and technology-… Read More
Michael Eiden
Michael Eiden is a Senior Consultant with Cutter Consortium's Data Analytics & Digital Technologies practice. Dr. Eiden, who serves as Head of AI at Arthur D. Little, is an expert in machine learning (ML) and artificial intelligence (AI) with more than 15 years' experience across different industrial sectors. He has designed, implemented, and productionized ML/AI solutions for applications in medical diagnostics, pharma, biodefense, and… Read More
Ben Enejo
Ben Enejo is a Principal at Arthur D. Little (ADL), based in London, and a member of ADL’s global Healthcare & Life Sciences practice. Mr. Enejo is an experienced life science management consultant and has worked with various global pharmaceutical companies on business transformation initiatives. He has managed complex programs, including pharma development, new service introduction, quality and compliance process improvement, new product… Read More
Craig Wylie
Craig Wylie is a Senior Consultant with Cutter Consortium; a Partner at Arthur D. Little (ADL), based in New York; and a member of ADL's global Healthcare & Life Sciences practice. His expertise is in the regulated functions of the life sciences industry, in particular, post-merger integration, R&D strategy and operations, inspection readiness, and findings remediation. Mr. Wylie's background is in R&D and quality operations, and he… Read More
Tom Teixeira
Tom Teixeira is a Senior Consultant with Cutter Consortium's Business Technology & Digital Transformation Strategies practice and a Partner with Arthur D. Little (ADL), based in London. He has more than 20 years’ risk management experience, both in senior consulting and operational roles. Mr. Teixeira’s key areas of expertise include risk-based strategic planning and forecasting; risk analysis and quantification; total cost of risk reduction… Read More
Richard Eagar
Rick Eagar is a Senior Consultant with Cutter Consortium's Business Technology & Digital Transformation Strategies practice and Global Leader in the Technology & Innovation Management practice of Arthur D. Little (ADL), responsible for functional expertise in innovation, R&D, and technology management. He has 30 years’ consulting exper­ience in innovation, technology management, and R&D in strategy and organization/trans­… Read More
Carl Bate
Carl Bate is a Senior Consultant with Cutter Consortium's Business Technology & Digital Transformation Strategies practice. Mr. Bate has cross-industry experience with a focus in digital health. Recent work includes leading the reconception and rebuild of a global leader in adherence tech's real-time remote patient and disease management Internet of Medical Things platform; applying AI/ML for radical efficiency improvement in adverse event… Read More
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