DIA: Driving Insights to Action
Science:Life Sciences
Even under COVID-19 quarantine, patients wearing remote sensors keep clinical research moving forward digitally. “Now suddenly, very suddenly, we're faced with an intense patient safety issue where we really are risking patients' lives by having them come into these clinical sites,” explains Paul O’Donohoe, Medidata Solutions. "I suspect we're going to see a significant uptake in the acceptability and use of technology as a way of allowing patients to now provide us that data in the safety of their own homes.” Bill Byrom, Signant Health, moderates this podcast with Paul and Jennifer Goldsack, Digital Medicine Society, and serves on the Steering Committee for the August 2020 virtual Digital Technology in Clinical Trials conference co-sponsored by DIA and the ePRO Consortium of the Critical Path Institute.
Complexity Continues to Challenge Clinical Costs
Maximizing Regulatory Resources Across Latin America
Data Intersections Connecting Drug Development with Clinical Care
Sharing Cloud-Based Data as They Emerge: Accumulus Synergy Part 2
Sharing Cloud-Based Data as They Emerge: Accumulus Synergy Part 1
Advanced Tests and Therapies Making Daily Care Anything But Routine
Innovation Without Access Will Never Meet Patient Needs
Three Good Reasons to Use Artificial Intelligence in Pharmacovigilance
EU Regulatory Strategies Shaping and Shaped by Pandemic Response
Telehealth Emerging in Japan’s Clinical Research and Care
Aligned Review Timelines Key to Co-Developing Companion Diagnostics
Early Access Programs Complicating Comparative Data Analyses
New PAHO Report: Strength in Regulatory Reference and Reliance
eLabeling More than Moving from Paper to Digital
RIM Whitepaper V2 and RIM Reference Model: Advancing Regulatory Science
Australia: Growing Clinical Trials Even in Pandemic’s Wake
Remote Tools Keep Japan's Research Moving
DIA Promoting Community, Pushing Back Misinformation
Japan Healthcare 2035: Focus on Basic Science & Economics
DARWIN EU: Evolution in Europe’s Use of Big Data
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