From lab to clinic: How AI can help

Published: March 4, 2020

03rd March 2020 – Written by Dr. Ulrik Kristensen – Featured in –

Artificial intelligence (AI) and machine learning are becoming essential for biomedical research. From analyzing real-world data and scientific information to providing improved predictive outcomes, clinical trials are an important checkpoint in moving therapies from the lab to the clinic, and AI software can help researchers and clinicians reach their goals in several ways.

Diversity of AI solutions

For researchers, although often not directly involved in the clinical trial process, AI software is of critical importance to the biomedical research landscape and an area with great potential for optimization. For instance, only 12% of drug development programs ended in success in a 2000 to 2019 study, according to recent research. Inability to demonstrate efficacy or safety, flawed study design, participant dropouts, or unsuccessful recruitment all contributed to the low success rate and prevented research advancements from reaching the clinic. Therefore, vendors in this space are focusing on the use of AI-based software to provide solutions.

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