From lab to clinic: How AI can help
Published: March 4, 2020
03rd March 2020 – Written by Dr. Ulrik Kristensen – Featured in AuntMinnie.com –
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.Share on LinkedIn
AI in Drug Development & Clinical TrialsPublished November 2020
AI in Drug Development & Clinical Trials
This is a brochure for Signify Research’s 2020 report on the global market for AI in drug development & clinical trials published in November 2020.
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