Article | September 17, 2024

Demystifying AI: A Review Of The Fundamentals And Applications In Drug Development

Source: ActiGraph

By Ali Neishabouri, Ph.D.

GettyImages-1287525182 data, AI

Artificial Intelligence (AI) has rapidly evolved from a niche concept to a mainstream phenomenon, influencing numerous aspects of everyday life. From large language models like ChatGPT to self-driving cars and AI-generated art, the technology's reach continues to expand. Industries across the board are now exploring how AI-based tools can enhance their operations, driving regulatory bodies to closely examine the ethical, safety, and legal implications.

The field of drug development is no exception, with AI showing promise in streamlining research, optimizing clinical trials, and accelerating the discovery of new therapies. However, realizing the full potential of AI requires a solid understanding of its core principles and how to apply them effectively in specific contexts.

In this blog post, we will explore the history of AI, clarify key concepts, address common questions, and dive into its transformative role in drug development, highlighting its current and future impact on the industry.

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