AI & Analytics Enhance Clinical Trial Design Efficiency

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AI & Analytics Enhance Clinical Trial Design Efficiency

Artificial intelligence (AI) and advanced analytics are poised to revolutionize the field of clinical trial protocol design. These cutting-edge technologies, when combined with real-world data, have the potential to significantly improve the efficiency, cost-effectiveness, and success rates of clinical trials. This transformative potential holds great promise for both patients and researchers.

In an upcoming webinar scheduled for Thursday, September 28th, 2023, experts in data science will delve into the ways in which real-world data can be effectively utilized to enhance clinical trial design. The webinar will specifically explore how AI and analytics can facilitate data-driven decision making throughout the trial design process.

Lucas Glass, Vice President of the IQVIA Analytics Center of Excellence (ACOE), will be one of the featured speakers. With over 15 years of experience in pharmaceutical data science, Glass leads a team of more than 200 data scientists, engineers, and product managers dedicated to researching, developing, and operationalizing machine learning and data science solutions within the realm of research and development (R&D).

Glass has played a pivotal role in launching numerous machine learning offerings within R&D, including site recommender systems, trial matching solutions, enrollment rate algorithms, drug target interactions, drug repurposing, and molecular optimization. His work has earned recognition and acceptance at esteemed AI conferences such as AAAI, WWW, NIPS, ICML, JAMIA, KDD, and others.

Joining Glass as a speaker is Pablo Aran Terol, Senior Product Manager at the IQVIA Analytics Center of Excellence. Terol holds a PhD in Biophysics from the University of Cambridge and has a decade of experience in the life sciences field. His background includes extensive research on the biophysical processes underlying Alzheimer’s Disease.

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Terol’s career in clinical research began as a consultant at IQVIA, where he contributed to clinical development programs, pricing strategies, market access initiatives, and asset evaluation. Over time, he transitioned to offering development, strategic planning, and eventually assumed his current role as Senior Product Manager.

Within the IQVIA Analytics Center of Excellence, Terol leads the strategy and development of cutting-edge technology designed to analyze clinical trial protocol designs, mitigating risks and expediting the delivery of therapies to patients.

The webinar will provide valuable insights into the potential benefits of integrating real-world data and AI in clinical trial protocol design. By facilitating data-driven decision making, these advancements offer the promise of enhanced trial efficiency, cost-effectiveness, and ultimately, improved patient outcomes. Furthermore, health systems and researchers stand to benefit from the increased likelihood of successful trial outcomes.

To learn more about the exciting future of AI and analytics in the realm of clinical trial design, register for the webinar on Thursday, September 28th, 2023, at 10am EDT | 7am PDT | 3pm BST | 4pm CEST. Gain a deeper understanding of how real-world data can be harnessed to optimize trial protocols, resulting in more efficient and successful clinical trials that bring therapies to patients faster.

The future of clinical trial design is here, and it is powered by AI and advanced analytics. Embrace the potential of this transformative technology and join the webinar to stay at the forefront of this groundbreaking field.

Frequently Asked Questions (FAQs) Related to the Above News

) What is the purpose of the upcoming webinar on AI and analytics in clinical trial design? (

) The purpose of the webinar is to explore how real-world data and AI can be effectively utilized to enhance clinical trial design and facilitate data-driven decision making throughout the trial design process. (

) Who are the featured speakers in the webinar? (

) The featured speakers in the webinar are Lucas Glass, Vice President of the IQVIA Analytics Center of Excellence, and Pablo Aran Terol, Senior Product Manager at the IQVIA Analytics Center of Excellence. (

) What is Lucas Glass's background and expertise? (

) Lucas Glass has over 15 years of experience in pharmaceutical data science and leads a team of more than 200 data scientists, engineers, and product managers. He has played a pivotal role in launching several machine learning offerings within research and development, earning recognition at esteemed AI conferences. (

) What is Pablo Aran Terol's background and expertise? (

) Pablo Aran Terol holds a PhD in Biophysics from the University of Cambridge and has a decade of experience in the life sciences field. He has worked on clinical development programs, pricing strategies, market access initiatives, and asset evaluation. Currently, he leads the strategy and development of technology at the IQVIA Analytics Center of Excellence. (

) What are the potential benefits of integrating real-world data and AI in clinical trial protocol design? (

) The integration of real-world data and AI in clinical trial protocol design can enhance trial efficiency, cost-effectiveness, and ultimately improve patient outcomes. It can also increase the likelihood of successful trial outcomes for health systems and researchers. (

) When is the webinar and how can I participate? (

) The webinar is scheduled for Thursday, September 28th, 2023, at 10am EDT | 7am PDT | 3pm BST | 4pm CEST. To participate, you can register for the webinar and gain a deeper understanding of how real-world data can optimize trial protocols and bring therapies to patients faster. (

) How can AI and advanced analytics revolutionize clinical trial protocol design? (

) AI and advanced analytics can revolutionize clinical trial protocol design by leveraging real-world data to facilitate data-driven decision making. These technologies can analyze and optimize trial designs, leading to enhanced efficiency, cost-effectiveness, and increased chances of success in clinical trials.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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