Topic

Articles

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

Digital Clinical Architecture for Modern Researchers

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

Debunking Top 5 Myths about Digital Twins in Clinical Trials 

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.

AI/ML Approaches to Assisted Medical Writing—Part 2

Director, Life Sciences, Linguamatics, an IQVIA company

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

NLP Analyzes the Past to Inform the Future of Clinical Trial Design 

Experimenting with different methods using AI.

AI/ML Approaches to Assisted Medical Writing—Part 1

Michelle Marlborough, Chief Product Officer, AiCure, LLC

Foundational issues must be addressed to advance best practices.

From Regulation to Data Aggregation: Three Machine Learning Trends to Watch

Vice President, Customer Success, Lokavant, Inc.

Director, Sales and Marketing, Lokavant, Inc.

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

The Future of Clinical Trials: Turning Data Chaos into Trial Intelligence

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

The Future of Regulatory Intelligence With Conversational AI

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

A Digital Twin on KRAS G12C NSCLC Patients with SCA Measured by PFS

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

Analytics