This Webinar will highlight a case study that focuses on the use of specialized AI for predicting patient retention and how AI improves data quality and completeness by avoiding patient early terminations. With the data manager and clinical data management audiences in mind, the case study will focus on how to engage sites and patients to address potential issues earlier in the study and the impact this has on avoiding patient dropouts.

Our panelists will showcase innovative data architectures and tools that effectively manage diverse data sources, as well as analyses of AI’s role in streamlining data integration, cleaning, and visualization. AI is revolutionizing clinical operations with new tools for data extraction, virtual trials, and predictive analytics.

Josh Wilson | SVP Operations, AICure
Josh oversees Operations teams responsible for delivery of the company’s platform and site services. Prior to joining AiCure, Josh was most recently at Syneos Health and INC Research for nearly two decades where he was responsible for building and managing data management and technology implementation teams as well as driving innovative strategies and strategic vendor engagements. He has extensive experience in configuring and deploying technical solutions and driving operational excellence. He holds a bachelor’s degree in Biology from UNC Greensboro. 

Eftim Pop-Lazarov | Chief AI Product Officer, Adaptive Clinical Systems
Eftim is an accomplished product technology leader with over 25 years of expertise in building innovative solutions that generate value and insights from data through search, analytics, and AI techniques. As the Chief AI Product Officer for Adaptive Clinical Systems, he spearheads the development of AI-drive applications and platforms, enhancing data interoperability in clinical trials. Previously with Thomson Reuters and Clarivate, Eftim’s skill set encompasses big data analytics, AI, decision support systems, AI search engines, and strategic technology road mapping.

Sina Adibi | President and CEO, Adaptive Clinical Systems
Sina has over 25 years of experience in life sciences informatics. He is the founder of Adaptive- Clinical Systems, makers of the Adaptive eClinical Bus; A Simple, Validated, and Cost-Effective Solution for Clinical Data Integration. As Chief Technology Officer (CTO) at Parexel, Inc., he was responsible for design and development of eClinical technologies, such as IRT, EDC, CTMS, and medical imaging. As CTO at Thomson Reuters Scientific & Healthcare, he had responsibility for scientific, technical, medical information management systems, data capture and content enhancement systems.