June 16th 2025
Balancing the emerging benefits of AI in pharmacovigilance with new responsibilities and demands from regulators in enhancing efficiency and safety.
June 12th 2025
Clinical trials face a critical challenge: bridging the gap between patient curiosity and motivation to participate, impacting recruitment success.
June 11th 2025
Recent analysis explores AI's momentum in drug development, showcasing rapid adoption and significant time savings, despite challenges in trust and data governance.
May 29th 2025
A blend of FSO and FSP models in the landscape of artificial intelligence can ensure CROs stay up to date with the unique demands of industry.
May 23rd 2025
How digital intake solutions driven by technological advancements can help overcome the challenges of operating across different regulatory markets.
The Future of Clinical Technology
In the fifth and final part of this video interview, Melissa Easy, VP commercial, digital products & solutions, IQVIA shares what excites her most about the future of clinical technology.
How Regulators are Viewing the Current Landscape of Clinical Technology
In part 4 of this video interview, Melissa Easy, VP commercial, digital products & solutions, IQVIA highlights how the regulators are addressing new technology with updated guidances.
Choosing the Best Clinical Technology for Your Study
In part 3 of this video interview, Melissa Easy, VP commercial, digital products & solutions, IQVIA touches on how the right technology for your study should alleviate site burden and improve data quality.
Integrating Clinical Technology
In part 2 of this video interview, Melissa Easy, VP commercial, digital products & solutions, IQVIA discusses how advancements in technology are creating challenges with integration and how they can be addressed.
'Fit-for-Purpose' Considerations for Remote Trials
Q&A with Joachim Lövin explores the challenges and lessons learned in boosting the flexibility of conducting decentralized clinical trials post-COVID.
Excitement Around the Current State of Clinical Technology
In part 1 of this video interview, Melissa Easy, VP commercial, digital products & solutions, IQVIA highlights how patients, sites, and sponsors can benefit from recent advancements such as AI and LLMs.
Potential Advancements in Patient Centricity
In the fourth and final part of this video interview, Vincent Keunen, founder & CEO of Andaman7 looks forward and highlights some potential advancements with the use of AI.
Identifying the Most Useful Features in Solutions from a Patient POV
In part 3 of this video interview, Vincent Keunen, founder & CEO of Andaman7 shares his own experience as a patient when it comes to using digital applications.
Building Patient-centric Technology
In part 2 of this video interview, Vincent Keunen, founder & CEO of Andaman7 highlights how technology vendors should be keeping the patient in mind when building solutions.
Enhancing Care and Research: Digital Technology's Impact on Rett Syndrome Management
Wearables have great potential to continue advancing research in Rett syndrome as well as other rare disease areas.
AI-Enabled Clinical Trials: A Multiomic Roadmap to Success
How artificial intelligence can aid in selecting patients, leveraging safety insights, and optimizing combination therapies.
Mapping Baseline ChatGPT Usage to Support Drug Development
Despite limitations to its widespread use within healthcare, there is great potential for ChatGPT’s application in drug development.
Putting LP-284 on the Industry RADR
Panna Sharma, CEO of Lantern Pharma, discusses LP-284, using their RADR during testing, ensuring global use, and what the future holds.
Conference Calls for Unity in Addressing Artificial Intelligence Regulation in Life Sciences Research and Development
A survey conducted at this year’s Pistoia Alliance conference determined that although 70% of life sciences experts acknowledge artificial intelligence’s potential, many still struggle with its initiation and implementation.
AI in Clinical Trials: The Future of Drug Discovery
Despite the significance offered by AI to pharmaceutical companies, there are several challenges that must be overcome for successful integration of tech-based tools.