Machine learning
AI in Clinical trials - Key insights from industry experts
When OpenAI unveiled ChatGPT in November 2022, it ignited unprecedented interest in artificial intelligence. Three years later, generative AI and machine learning have caused seismic shifts in industries worldwide. The pharmaceutical industry is not left out of this shift, with Roots Analysis reporting that they expect AI within clinical trials to grow at a compound annual growth rate of 16% through 2035. This growth is driven by belief in AI’s unique ability to process and analyze massive datasets at groundbreaking speeds, identifying patterns and generating insights that would be impossible to discover through traditional methods. By leveraging these capabilities, pharmaceutical companies hope to fundamentally reimagine core aspects of clinical trials, from initial design through final data analysis.
Experts discuss AI’s future in pharma
In June of 2022, Open AI forever changed the world’s technological landscape with the release of ChatGPT 3.5. The explosion and proliferation of AI tools have become a focal point of interest and curiosity in almost every industry, with commentators in pharma wondering how AI can improve clinical research.
In January 2024, panelists from Syneos, Obvious Ventures, Sapphire Ventures, IDEA Pharma, and GSR Ventures joined Medable’s CEO, Dr. Michelle Longmire, to discuss the purpose, potential, and power this transformative technology offers.
Here’s what they had to say.
How AI and ML can transform clinical trial conduct
There’s little doubt that 2023 will be remembered as the breakout year for generative artificial intelligence (AI) and machine learning (ML) within both tech and pharma. Much like the surge in digital and decentralized trials in 2020, AI and ML have sparked a paradigm shift in what is possible in the development of drugs and treatments.
With the FDA’s recent publications providing a future framework, sponsors and CROs everywhere are researching how best to bolster drug development. With all these advancements happening at an unprecedented pace, we’re providing an overview of the uses of AI and ML in clinical conduct below.