Analytics

These devices can help researchers identify data points that are not immediately available to researchers.

Webinar Date/Time: Session 1: Tuesday, April 18th, 2023 at 8am EDT | 1pm BST | 2pm CEST Session 2: Tuesday, April 18th, 2023 at 2pm EDT | 11am PDT | 7pm BST

Use cases show benefits of unlocking data to improve signal and adverse event detection.

Mike Gallup, CEO, Norstella, Ashley Schwalje, Senior Director, Clinical Solutions Consulting, Citeline

Amidst difficulty in attracting underrepresented populations, industry is searching for ways to include more diverse datasets.

Webinar Date/Time: Thu, Mar 16, 2023 11:00 AM EDT

Webinar Date/Time: Mon, Feb 13, 2023 10:00 AM EST

Webinar Date/Time: Thu, Jan 26, 2023 11:00 AM EST

Phesi and Tufts CSDD share results from research on operating practices that can be improved.

Raj Indupuri from eClinical Solutions and Douglas Barta from Cerevel Therapeutics discuss how a digital clinical architecture is ideal for modern researchers and trials.

Addressing misconceptions as industry becomes more familiar with AI and ML.

Following a discussion around summarization in Part 1, Part 2 discusses the method of pure abstraction in light of recent advances in deep learning and AI.

Natural language processing can help simplify protocols of the past, as evidenced by a recent Novartis initiative.

Experimenting with different methods using AI.

Foundational issues must be addressed to advance best practices.

Poll taken by leading biotech executives in clinical development addresses state of data quality and management.

Chatbots can benefit regulatory landscape in light of evolving standards and guidelines.

Digital twins, defined as a typical demographic patient profile in a specific population, have the potential to help clinical trial design.

Study evaluates the use of AI-supported medical coding module.

Study designs, coupled with difficulties finding, enrolling and retaining trial participants, further intensify operational challenges and prevent new treatments from getting to market.

Explore how natural language processing and social graph techniques help to tackle the challenge of patient and investigator recruitment and raise the success rate of clinical trials.