Track: Clinical Data Strategy and Analytics
Date: Tuesday, February 7th, 2023
Time: 12:10 p.m. EST
Session: Artificial Intelligence Can Improve Patient Experience in Decentralized Clinical Trials
The clinical trial industry is undergoing a rapid transition toward decentralization, where some or all health assessments are performed remotely in participants’ homes instead of in medical centers. Adopting artificial intelligence in this setting can empower more patients to enroll in trials, successfully complete them without burden, and submit high-fidelity assessments of their health. In this talk we will discuss insights from our recent article in Nature Medicine on this topic.
Director of Artificial Intelligence at Clario
Łukasz joined Clario through the acquisition of his startup Saliency, building software for automating imaging work in clinical trials. Previously, he was a researcher at Stanford University, working on using wearable devices for quantifying health. He obtained a Ph.D. at Université Libre de Bruxelles in mathematical statistics. He co-authored over 100 scientific publications.
Director of Artificial Intelligence at Clario
Before Clario, Kevin co-founded Saliency, a Silicon Valley-based startup developing AI-enabled medical imaging biomarkers. The startup was acquired by Clario in 2020. Kevin has a Ph.D. in biomedical informatics from Stanford University and completed the first two years of medical school at Stanford School of Medicine. Before attending graduate school, he conducted research in Canada as a Fullbright Scholar.
Track: Decentralized and Hybrid Trials
Date: Wednesday, February 8th, 2023
Time: 12:50 p.m. EST
Luncheon Presentation: Clinical Outcome Assessments (COAs): Applying Scientific Rigor and Good Instrument Design
The bedrock of a successful trial is a well-designed protocol with reliable measurements of biomedical and health-related outcomes to satisfy regulatory standards. This session examines how scientific rigor can be applied to clinical outcome assessments (COAs) even though they are subjective. We will synthesize the scientific practices underpinning good instrument design and COA data collection methods and recommend next steps for addressing data collection challenges.
Director, eCOA Science & Consulting at Clario
Dr. Lindsay Hughes, Director of eCOA Clinical Science and Consulting at Clario, is a scientist and leader with over 15 years of experience in behavioral and life sciences. She has held key national leadership roles including advisor within the Obama/Biden administration’s global HIV response team, advisor to United Nations leadership and instructor at the CDC and USAID. An international speaker, Dr. Hughes is responsible for a team of scientific experts who provide guidance and analysis services related to the creation of electronic data collection systems for clinical trials.
Scientific Advisor at Clario
Jowita Marszewska, Ph.D. is a Scientific Advisor at Clario, a global data and technology company that helps minimize risk in clinical trials. Dr. Marszewska has experience with electronic data capture and data management in clinical research. She advises on eCOA best practices, diary and instrument design and training for participants, caregivers and raters. Dr. Marszewska earned her M.Sc. and Ph.D. degrees in the field of chemistry. She has authored or co-authored 10 publications and has been an advocate for STEM education throughout her career.
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