Article | March 12, 2024

Accelerating AI Innovation In Pharma: Collaboration Versus Competition

Source: Castor
AI-artificial intelligence-GettyImages-1464561797

The SCOPE 2024 conference underscored the growing influence of Artificial Intelligence (AI) in expediting drug development procedures in major pharmaceutical firms. A key discussion point was whether collaboration or competition would be more effective in fostering AI advancement in the sector. Advocates for collaboration argued it could lead to standardization and synergy, thus reducing duplication and costs, but noted potential challenges such as agreeing on shared goals and managing intellectual property issues. Those favoring competition suggested it could stimulate swift innovation and creative problem-solving, but warned it might result in scalability problems and disjointed systems.

A consensus emerged suggesting a balanced approach that incorporates both strategies could be the most effective path forward. The pharmaceutical industry is urged to maintain open communication and share best practices as it continues to integrate and evolve with AI technologies. Learn how this balanced approach could potentially lead to more streamlined, efficient, and innovative drug development processes.

access the Article!

Get unlimited access to:

Trend and Thought Leadership Articles
Case Studies & White Papers
Extensive Product Database
Members-Only Premium Content
Welcome Back! Please Log In to Continue. X

Enter your credentials below to log in. Not yet a member of Clinical Leader? Subscribe today.

Subscribe to Clinical Leader X

Please enter your email address and create a password to access the full content, Or log in to your account to continue.


Subscribe to Clinical Leader